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Browse files- ArticulatoryTextFrontend.py +1073 -0
- articulatory_features.py +966 -0
- iso_lookup.json +0 -0
- iso_to_fullname.json +0 -0
- requirements.txt +12 -0
- run_feature_visualization.py +55 -0
- run_grapheme_to_feature_demo.py +33 -0
ArticulatoryTextFrontend.py
ADDED
@@ -0,0 +1,1073 @@
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1 |
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# -*- coding: utf-8 -*-
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3 |
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import json
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import logging
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import re
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7 |
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import torch
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from articulatory_features import generate_feature_table
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from articulatory_features import get_feature_to_index_lookup
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from articulatory_features import get_phone_to_id
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from dragonmapper.transcriptions import pinyin_to_ipa
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from phonemizer.backend import EspeakBackend
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from pypinyin import pinyin
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def load_json_from_path(path): # redundant to the one in utils, but necessary to avoid circular imports
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with open(path, "r", encoding="utf8") as f:
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obj = json.loads(f.read())
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return obj
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class ArticulatoryTextFrontend:
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def __init__(self,
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language,
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add_silence_to_end=True, # empirically, I found that most TTS systems benefit from having a pause token at the end
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use_word_boundaries=True, # in multilingual scenarios, this can help. Only really works on languages that use whitespace
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30 |
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use_explicit_end_of_utterance_token=True, # this can help with autoregressive models
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31 |
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device="cpu"):
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"""
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33 |
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Mostly preparing ID lookups
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"""
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# this locks the device, so it has to happen here and not at the top
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37 |
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from transphone.g2p import read_g2p
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38 |
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39 |
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self.language = language
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40 |
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self.use_explicit_eos = use_explicit_end_of_utterance_token
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41 |
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self.add_silence_to_end = add_silence_to_end
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42 |
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self.use_word_boundaries = use_word_boundaries
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+
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register_to_height = {
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"˥": 5,
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"˦": 4,
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"˧": 3,
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"˨": 2,
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"˩": 1
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}
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self.rising_perms = list()
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self.falling_perms = list()
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self.peaking_perms = list()
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54 |
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self.dipping_perms = list()
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55 |
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56 |
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for first_tone in ["˥", "˦", "˧", "˨", "˩"]:
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for second_tone in ["˥", "˦", "˧", "˨", "˩"]:
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if register_to_height[first_tone] > register_to_height[second_tone]:
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self.falling_perms.append(first_tone + second_tone)
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60 |
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else:
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self.rising_perms.append(first_tone + second_tone)
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for third_tone in ["˥", "˦", "˧", "˨", "˩"]:
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if register_to_height[first_tone] > register_to_height[second_tone] < register_to_height[third_tone]:
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self.dipping_perms.append(first_tone + second_tone + third_tone)
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65 |
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elif register_to_height[first_tone] < register_to_height[second_tone] > register_to_height[third_tone]:
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self.peaking_perms.append(first_tone + second_tone + third_tone)
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67 |
+
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68 |
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if language == "eng" or language == "en-us":
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69 |
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self.g2p_lang = "en-us" # English as spoken in USA
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70 |
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self.expand_abbreviations = english_text_expansion
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71 |
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self.phonemizer = "espeak"
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72 |
+
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73 |
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elif language == "deu":
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74 |
+
self.g2p_lang = "de" # German
|
75 |
+
self.expand_abbreviations = lambda x: x
|
76 |
+
self.phonemizer = "espeak"
|
77 |
+
|
78 |
+
elif language == "ell":
|
79 |
+
self.g2p_lang = "el" # Greek
|
80 |
+
self.expand_abbreviations = lambda x: x
|
81 |
+
self.phonemizer = "espeak"
|
82 |
+
|
83 |
+
elif language == "spa":
|
84 |
+
self.g2p_lang = "es" # Spanish
|
85 |
+
self.expand_abbreviations = lambda x: x
|
86 |
+
self.phonemizer = "espeak"
|
87 |
+
|
88 |
+
elif language == "spa-lat":
|
89 |
+
self.g2p_lang = "es-419" # Spanish
|
90 |
+
self.expand_abbreviations = lambda x: x
|
91 |
+
self.phonemizer = "espeak"
|
92 |
+
|
93 |
+
elif language == "fin":
|
94 |
+
self.g2p_lang = "fi" # Finnish
|
95 |
+
self.expand_abbreviations = lambda x: x
|
96 |
+
self.phonemizer = "espeak"
|
97 |
+
|
98 |
+
elif language == "rus":
|
99 |
+
self.g2p_lang = "ru" # Russian
|
100 |
+
self.expand_abbreviations = lambda x: x
|
101 |
+
self.phonemizer = "espeak"
|
102 |
+
|
103 |
+
elif language == "hun":
|
104 |
+
self.g2p_lang = "hu" # Hungarian
|
105 |
+
self.expand_abbreviations = lambda x: x
|
106 |
+
self.phonemizer = "espeak"
|
107 |
+
|
108 |
+
elif language == "nld":
|
109 |
+
self.g2p_lang = "nl" # Dutch
|
110 |
+
self.expand_abbreviations = lambda x: x
|
111 |
+
self.phonemizer = "espeak"
|
112 |
+
|
113 |
+
elif language == "fra":
|
114 |
+
self.g2p_lang = "fr-fr" # French
|
115 |
+
self.expand_abbreviations = remove_french_spacing
|
116 |
+
self.phonemizer = "espeak"
|
117 |
+
|
118 |
+
elif language == "fr-be":
|
119 |
+
self.g2p_lang = "fr-be" # French
|
120 |
+
self.expand_abbreviations = remove_french_spacing
|
121 |
+
self.phonemizer = "espeak"
|
122 |
+
|
123 |
+
elif language == "fr-sw":
|
124 |
+
self.g2p_lang = "fr-ch" # French
|
125 |
+
self.expand_abbreviations = remove_french_spacing
|
126 |
+
self.phonemizer = "espeak"
|
127 |
+
|
128 |
+
elif language == "ita":
|
129 |
+
self.g2p_lang = "it" # Italian
|
130 |
+
self.expand_abbreviations = lambda x: x
|
131 |
+
self.phonemizer = "espeak"
|
132 |
+
|
133 |
+
elif language == "por":
|
134 |
+
self.g2p_lang = "pt" # Portuguese
|
135 |
+
self.expand_abbreviations = lambda x: x
|
136 |
+
self.phonemizer = "espeak"
|
137 |
+
|
138 |
+
elif language == "pt-br":
|
139 |
+
self.g2p_lang = "pt-br" # Portuguese
|
140 |
+
self.expand_abbreviations = lambda x: x
|
141 |
+
self.phonemizer = "espeak"
|
142 |
+
|
143 |
+
elif language == "pol":
|
144 |
+
self.g2p_lang = "pl" # Polish
|
145 |
+
self.expand_abbreviations = lambda x: x
|
146 |
+
self.phonemizer = "espeak"
|
147 |
+
|
148 |
+
elif language == "cmn":
|
149 |
+
self.g2p_lang = "cmn" # Mandarin
|
150 |
+
self.expand_abbreviations = convert_kanji_to_pinyin_mandarin
|
151 |
+
self.phonemizer = "dragonmapper"
|
152 |
+
|
153 |
+
elif language == "vie":
|
154 |
+
self.g2p_lang = "vi" # Northern Vietnamese
|
155 |
+
self.expand_abbreviations = lambda x: x
|
156 |
+
self.phonemizer = "espeak"
|
157 |
+
|
158 |
+
elif language == "vi-ctr":
|
159 |
+
self.g2p_lang = "vi-vn-x-central" # Central Vietnamese
|
160 |
+
self.expand_abbreviations = lambda x: x
|
161 |
+
self.phonemizer = "espeak"
|
162 |
+
|
163 |
+
elif language == "vi-so":
|
164 |
+
self.g2p_lang = "vi-vn-x-south" # Southern Vietnamese
|
165 |
+
self.expand_abbreviations = lambda x: x
|
166 |
+
self.phonemizer = "espeak"
|
167 |
+
|
168 |
+
elif language == "ukr":
|
169 |
+
self.g2p_lang = "uk" # Ukrainian
|
170 |
+
self.expand_abbreviations = lambda x: x
|
171 |
+
self.phonemizer = "espeak"
|
172 |
+
|
173 |
+
elif language == "pes":
|
174 |
+
self.g2p_lang = "fa" # Western Farsi
|
175 |
+
self.expand_abbreviations = lambda x: x
|
176 |
+
self.phonemizer = "espeak"
|
177 |
+
|
178 |
+
elif language == "afr":
|
179 |
+
self.g2p_lang = "af" # Afrikaans
|
180 |
+
self.expand_abbreviations = lambda x: x
|
181 |
+
self.phonemizer = "espeak"
|
182 |
+
|
183 |
+
elif language == "aln":
|
184 |
+
self.g2p_lang = "sq" # Albanian
|
185 |
+
self.expand_abbreviations = lambda x: x
|
186 |
+
self.phonemizer = "espeak"
|
187 |
+
|
188 |
+
elif language == "amh":
|
189 |
+
self.g2p_lang = "am" # Amharic
|
190 |
+
self.expand_abbreviations = lambda x: x
|
191 |
+
self.phonemizer = "espeak"
|
192 |
+
|
193 |
+
elif language == "arb":
|
194 |
+
self.g2p_lang = "ar" # Arabic
|
195 |
+
self.expand_abbreviations = lambda x: x
|
196 |
+
self.phonemizer = "espeak"
|
197 |
+
|
198 |
+
elif language == "arg":
|
199 |
+
self.g2p_lang = "an" # Aragonese
|
200 |
+
self.expand_abbreviations = lambda x: x
|
201 |
+
self.phonemizer = "espeak"
|
202 |
+
|
203 |
+
elif language == "hye":
|
204 |
+
self.g2p_lang = "hy" # East Armenian
|
205 |
+
self.expand_abbreviations = lambda x: x
|
206 |
+
self.phonemizer = "espeak"
|
207 |
+
|
208 |
+
elif language == "hyw":
|
209 |
+
self.g2p_lang = "hyw" # West Armenian
|
210 |
+
self.expand_abbreviations = lambda x: x
|
211 |
+
self.phonemizer = "espeak"
|
212 |
+
|
213 |
+
elif language == "azj":
|
214 |
+
self.g2p_lang = "az" # Azerbaijani
|
215 |
+
self.expand_abbreviations = lambda x: x
|
216 |
+
self.phonemizer = "espeak"
|
217 |
+
|
218 |
+
elif language == "bak":
|
219 |
+
self.g2p_lang = "ba" # Bashkir
|
220 |
+
self.expand_abbreviations = lambda x: x
|
221 |
+
self.phonemizer = "espeak"
|
222 |
+
|
223 |
+
elif language == "eus":
|
224 |
+
self.g2p_lang = "eu" # Basque
|
225 |
+
self.expand_abbreviations = lambda x: x
|
226 |
+
self.phonemizer = "espeak"
|
227 |
+
|
228 |
+
elif language == "bel":
|
229 |
+
self.g2p_lang = "be" # Belarusian
|
230 |
+
self.expand_abbreviations = lambda x: x
|
231 |
+
self.phonemizer = "espeak"
|
232 |
+
|
233 |
+
elif language == "ben":
|
234 |
+
self.g2p_lang = "bn" # Bengali
|
235 |
+
self.expand_abbreviations = lambda x: x
|
236 |
+
self.phonemizer = "espeak"
|
237 |
+
|
238 |
+
elif language == "bpy":
|
239 |
+
self.g2p_lang = "bpy" # Bishnupriya Manipuri
|
240 |
+
self.expand_abbreviations = lambda x: x
|
241 |
+
self.phonemizer = "espeak"
|
242 |
+
|
243 |
+
elif language == "bos":
|
244 |
+
self.g2p_lang = "bs" # Bosnian
|
245 |
+
self.expand_abbreviations = lambda x: x
|
246 |
+
self.phonemizer = "espeak"
|
247 |
+
|
248 |
+
elif language == "bul":
|
249 |
+
self.g2p_lang = "bg" # Bulgarian
|
250 |
+
self.expand_abbreviations = lambda x: x
|
251 |
+
self.phonemizer = "espeak"
|
252 |
+
|
253 |
+
elif language == "mya":
|
254 |
+
self.g2p_lang = "my" # Burmese
|
255 |
+
self.expand_abbreviations = lambda x: x
|
256 |
+
self.phonemizer = "espeak"
|
257 |
+
|
258 |
+
elif language == "chr":
|
259 |
+
self.g2p_lang = "chr" # Cherokee
|
260 |
+
self.expand_abbreviations = lambda x: x
|
261 |
+
self.phonemizer = "espeak"
|
262 |
+
|
263 |
+
elif language == "yue":
|
264 |
+
self.g2p_lang = "yue" # Chinese Cantonese
|
265 |
+
self.expand_abbreviations = lambda x: x
|
266 |
+
self.phonemizer = "espeak"
|
267 |
+
|
268 |
+
elif language == "hak":
|
269 |
+
self.g2p_lang = "hak" # Chinese Hakka
|
270 |
+
self.expand_abbreviations = lambda x: x
|
271 |
+
self.phonemizer = "espeak"
|
272 |
+
|
273 |
+
elif language == "haw":
|
274 |
+
self.g2p_lang = "haw" # Hawaiian
|
275 |
+
self.expand_abbreviations = lambda x: x
|
276 |
+
self.phonemizer = "espeak"
|
277 |
+
|
278 |
+
elif language == "hrv":
|
279 |
+
self.g2p_lang = "hr" # Croatian
|
280 |
+
self.expand_abbreviations = lambda x: x
|
281 |
+
self.phonemizer = "espeak"
|
282 |
+
|
283 |
+
elif language == "ces":
|
284 |
+
self.g2p_lang = "cs" # Czech
|
285 |
+
self.expand_abbreviations = lambda x: x
|
286 |
+
self.phonemizer = "espeak"
|
287 |
+
|
288 |
+
elif language == "dan":
|
289 |
+
self.g2p_lang = "da" # Danish
|
290 |
+
self.expand_abbreviations = lambda x: x
|
291 |
+
self.phonemizer = "espeak"
|
292 |
+
|
293 |
+
elif language == "ekk":
|
294 |
+
self.g2p_lang = "et" # Estonian
|
295 |
+
self.expand_abbreviations = lambda x: x
|
296 |
+
self.phonemizer = "espeak"
|
297 |
+
|
298 |
+
elif language == "gle":
|
299 |
+
self.g2p_lang = "ga" # Gaelic Irish
|
300 |
+
self.expand_abbreviations = lambda x: x
|
301 |
+
self.phonemizer = "espeak"
|
302 |
+
|
303 |
+
elif language == "gla":
|
304 |
+
self.g2p_lang = "gd" # Gaelic Scottish
|
305 |
+
self.expand_abbreviations = lambda x: x
|
306 |
+
self.phonemizer = "espeak"
|
307 |
+
|
308 |
+
elif language == "en-sc":
|
309 |
+
self.g2p_lang = "en-gb-scotland"
|
310 |
+
self.expand_abbreviations = lambda x: x
|
311 |
+
self.phonemizer = "espeak"
|
312 |
+
|
313 |
+
elif language == "kat":
|
314 |
+
self.g2p_lang = "ka" # Georgian
|
315 |
+
self.expand_abbreviations = lambda x: x
|
316 |
+
self.phonemizer = "espeak"
|
317 |
+
|
318 |
+
elif language == "kal":
|
319 |
+
self.g2p_lang = "kl" # Greenlandic
|
320 |
+
self.expand_abbreviations = lambda x: x
|
321 |
+
self.phonemizer = "espeak"
|
322 |
+
|
323 |
+
elif language == "guj":
|
324 |
+
self.g2p_lang = "gu" # Gujarati
|
325 |
+
self.expand_abbreviations = lambda x: x
|
326 |
+
self.phonemizer = "espeak"
|
327 |
+
|
328 |
+
elif language == "heb":
|
329 |
+
self.g2p_lang = "he" # Hebrew
|
330 |
+
self.expand_abbreviations = lambda x: x
|
331 |
+
self.phonemizer = "espeak"
|
332 |
+
|
333 |
+
elif language == "hin":
|
334 |
+
self.g2p_lang = "hi" # Hindi
|
335 |
+
self.expand_abbreviations = lambda x: x
|
336 |
+
self.phonemizer = "espeak"
|
337 |
+
|
338 |
+
elif language == "isl":
|
339 |
+
self.g2p_lang = "is" # Icelandic
|
340 |
+
self.expand_abbreviations = lambda x: x
|
341 |
+
self.phonemizer = "espeak"
|
342 |
+
|
343 |
+
elif language == "ind":
|
344 |
+
self.g2p_lang = "id" # Indonesian
|
345 |
+
self.expand_abbreviations = lambda x: x
|
346 |
+
self.phonemizer = "espeak"
|
347 |
+
|
348 |
+
elif language == "jpn":
|
349 |
+
import pykakasi
|
350 |
+
|
351 |
+
self.kakasi = pykakasi.Kakasi() # this is not a satisfactory solution, but it is the best one I could come up with so far.
|
352 |
+
self.expand_abbreviations = lambda x: " ".join([chunk["hepburn"] for chunk in self.kakasi.convert(x)])
|
353 |
+
self.g2p_lang = language
|
354 |
+
self.phonemizer = "transphone"
|
355 |
+
self.transphone = read_g2p(device=device)
|
356 |
+
|
357 |
+
elif language == "kan":
|
358 |
+
self.g2p_lang = "kn" # Kannada
|
359 |
+
self.expand_abbreviations = lambda x: x
|
360 |
+
self.phonemizer = "espeak"
|
361 |
+
|
362 |
+
elif language == "knn":
|
363 |
+
self.g2p_lang = "kok" # Konkani
|
364 |
+
self.expand_abbreviations = lambda x: x
|
365 |
+
self.phonemizer = "espeak"
|
366 |
+
|
367 |
+
elif language == "kor":
|
368 |
+
self.g2p_lang = "ko" # Korean
|
369 |
+
self.expand_abbreviations = lambda x: x
|
370 |
+
self.phonemizer = "espeak"
|
371 |
+
|
372 |
+
elif language == "ckb":
|
373 |
+
self.g2p_lang = "ku" # Kurdish
|
374 |
+
self.expand_abbreviations = lambda x: x
|
375 |
+
self.phonemizer = "espeak"
|
376 |
+
|
377 |
+
elif language == "kaz":
|
378 |
+
self.g2p_lang = "kk" # Kazakh
|
379 |
+
self.expand_abbreviations = lambda x: x
|
380 |
+
self.phonemizer = "espeak"
|
381 |
+
|
382 |
+
elif language == "kir":
|
383 |
+
self.g2p_lang = "ky" # Kyrgyz
|
384 |
+
self.expand_abbreviations = lambda x: x
|
385 |
+
self.phonemizer = "espeak"
|
386 |
+
|
387 |
+
elif language == "lat":
|
388 |
+
self.g2p_lang = "la" # Latin
|
389 |
+
self.expand_abbreviations = lambda x: x
|
390 |
+
self.phonemizer = "espeak"
|
391 |
+
|
392 |
+
elif language == "ltz":
|
393 |
+
self.g2p_lang = "lb" # Luxembourgish
|
394 |
+
self.expand_abbreviations = lambda x: x
|
395 |
+
self.phonemizer = "espeak"
|
396 |
+
|
397 |
+
elif language == "lvs":
|
398 |
+
self.g2p_lang = "lv" # Latvian
|
399 |
+
self.expand_abbreviations = lambda x: x
|
400 |
+
self.phonemizer = "espeak"
|
401 |
+
|
402 |
+
elif language == "lit":
|
403 |
+
self.g2p_lang = "lt" # Lithuanian
|
404 |
+
self.expand_abbreviations = lambda x: x
|
405 |
+
self.phonemizer = "espeak"
|
406 |
+
|
407 |
+
elif language == "mri":
|
408 |
+
self.g2p_lang = "mi" # Māori
|
409 |
+
self.expand_abbreviations = lambda x: x
|
410 |
+
self.phonemizer = "espeak"
|
411 |
+
|
412 |
+
elif language == "mkd":
|
413 |
+
self.g2p_lang = "mk" # Macedonian
|
414 |
+
self.expand_abbreviations = lambda x: x
|
415 |
+
self.phonemizer = "espeak"
|
416 |
+
|
417 |
+
elif language == "zlm":
|
418 |
+
self.g2p_lang = "ms" # Malay
|
419 |
+
self.expand_abbreviations = lambda x: x
|
420 |
+
self.phonemizer = "espeak"
|
421 |
+
|
422 |
+
elif language == "mal":
|
423 |
+
self.g2p_lang = "ml" # Malayalam
|
424 |
+
self.expand_abbreviations = lambda x: x
|
425 |
+
self.phonemizer = "espeak"
|
426 |
+
|
427 |
+
elif language == "mlt":
|
428 |
+
self.g2p_lang = "mt" # Maltese
|
429 |
+
self.expand_abbreviations = lambda x: x
|
430 |
+
self.phonemizer = "espeak"
|
431 |
+
|
432 |
+
elif language == "mar":
|
433 |
+
self.g2p_lang = "mr" # Marathi
|
434 |
+
self.expand_abbreviations = lambda x: x
|
435 |
+
self.phonemizer = "espeak"
|
436 |
+
|
437 |
+
elif language == "nci":
|
438 |
+
self.g2p_lang = "nci" # Nahuatl
|
439 |
+
self.expand_abbreviations = lambda x: x
|
440 |
+
self.phonemizer = "espeak"
|
441 |
+
|
442 |
+
elif language == "npi":
|
443 |
+
self.g2p_lang = "ne" # Nepali
|
444 |
+
self.expand_abbreviations = lambda x: x
|
445 |
+
self.phonemizer = "espeak"
|
446 |
+
|
447 |
+
elif language == "nob":
|
448 |
+
self.g2p_lang = "nb" # Norwegian Bokmål
|
449 |
+
self.expand_abbreviations = lambda x: x
|
450 |
+
self.phonemizer = "espeak"
|
451 |
+
|
452 |
+
elif language == "nog":
|
453 |
+
self.g2p_lang = "nog" # Nogai
|
454 |
+
self.expand_abbreviations = lambda x: x
|
455 |
+
self.phonemizer = "espeak"
|
456 |
+
|
457 |
+
elif language == "ory":
|
458 |
+
self.g2p_lang = "or" # Oriya
|
459 |
+
self.expand_abbreviations = lambda x: x
|
460 |
+
self.phonemizer = "espeak"
|
461 |
+
|
462 |
+
elif language == "gaz":
|
463 |
+
self.g2p_lang = "om" # Oromo
|
464 |
+
self.expand_abbreviations = lambda x: x
|
465 |
+
self.phonemizer = "espeak"
|
466 |
+
|
467 |
+
elif language == "pap":
|
468 |
+
self.g2p_lang = "pap" # Papiamento
|
469 |
+
self.expand_abbreviations = lambda x: x
|
470 |
+
self.phonemizer = "espeak"
|
471 |
+
|
472 |
+
elif language == "pan":
|
473 |
+
self.g2p_lang = "pa" # Punjabi
|
474 |
+
self.expand_abbreviations = lambda x: x
|
475 |
+
self.phonemizer = "espeak"
|
476 |
+
|
477 |
+
elif language == "ron":
|
478 |
+
self.g2p_lang = "ro" # Romanian
|
479 |
+
self.expand_abbreviations = lambda x: x
|
480 |
+
self.phonemizer = "espeak"
|
481 |
+
|
482 |
+
elif language == "lav":
|
483 |
+
self.g2p_lang = "ru-lv" # Russian Latvia
|
484 |
+
self.expand_abbreviations = lambda x: x
|
485 |
+
self.phonemizer = "espeak"
|
486 |
+
|
487 |
+
elif language == "srp":
|
488 |
+
self.g2p_lang = "sr" # Serbian
|
489 |
+
self.expand_abbreviations = lambda x: x
|
490 |
+
self.phonemizer = "espeak"
|
491 |
+
|
492 |
+
elif language == "tsn":
|
493 |
+
self.g2p_lang = "tn" # Setswana
|
494 |
+
self.expand_abbreviations = lambda x: x
|
495 |
+
self.phonemizer = "espeak"
|
496 |
+
|
497 |
+
elif language == "snd":
|
498 |
+
self.g2p_lang = "sd" # Sindhi
|
499 |
+
self.expand_abbreviations = lambda x: x
|
500 |
+
self.phonemizer = "espeak"
|
501 |
+
|
502 |
+
elif language == "slk":
|
503 |
+
self.g2p_lang = "sk" # Slovak
|
504 |
+
self.expand_abbreviations = lambda x: x
|
505 |
+
self.phonemizer = "espeak"
|
506 |
+
|
507 |
+
elif language == "slv":
|
508 |
+
self.g2p_lang = "sl" # Slovenian
|
509 |
+
self.expand_abbreviations = lambda x: x
|
510 |
+
self.phonemizer = "espeak"
|
511 |
+
|
512 |
+
elif language == "smj":
|
513 |
+
self.g2p_lang = "smj" # Lule Saami
|
514 |
+
self.expand_abbreviations = lambda x: x
|
515 |
+
self.phonemizer = "espeak"
|
516 |
+
|
517 |
+
elif language == "swh":
|
518 |
+
self.g2p_lang = "sw" # Swahili
|
519 |
+
self.expand_abbreviations = lambda x: x
|
520 |
+
self.phonemizer = "espeak"
|
521 |
+
|
522 |
+
elif language == "swe":
|
523 |
+
self.g2p_lang = "sv" # Swedish
|
524 |
+
self.expand_abbreviations = lambda x: x
|
525 |
+
self.phonemizer = "espeak"
|
526 |
+
|
527 |
+
elif language == "tam":
|
528 |
+
self.g2p_lang = "ta" # Tamil
|
529 |
+
self.expand_abbreviations = lambda x: x
|
530 |
+
self.phonemizer = "espeak"
|
531 |
+
|
532 |
+
elif language == "tha":
|
533 |
+
self.g2p_lang = "th" # Thai
|
534 |
+
self.expand_abbreviations = lambda x: x
|
535 |
+
self.phonemizer = "espeak"
|
536 |
+
|
537 |
+
elif language == "tuk":
|
538 |
+
self.g2p_lang = "tk" # Turkmen
|
539 |
+
self.expand_abbreviations = lambda x: x
|
540 |
+
self.phonemizer = "espeak"
|
541 |
+
|
542 |
+
elif language == "tat":
|
543 |
+
self.g2p_lang = "tt" # Tatar
|
544 |
+
self.expand_abbreviations = lambda x: x
|
545 |
+
self.phonemizer = "espeak"
|
546 |
+
|
547 |
+
elif language == "tel":
|
548 |
+
self.g2p_lang = "te" # Telugu
|
549 |
+
self.expand_abbreviations = lambda x: x
|
550 |
+
self.phonemizer = "espeak"
|
551 |
+
|
552 |
+
elif language == "tur":
|
553 |
+
self.g2p_lang = "tr" # Turkish
|
554 |
+
self.expand_abbreviations = lambda x: x
|
555 |
+
self.phonemizer = "espeak"
|
556 |
+
|
557 |
+
elif language == "uig":
|
558 |
+
self.g2p_lang = "ug" # Uyghur
|
559 |
+
self.expand_abbreviations = lambda x: x
|
560 |
+
self.phonemizer = "espeak"
|
561 |
+
|
562 |
+
elif language == "urd":
|
563 |
+
self.g2p_lang = "ur" # Urdu
|
564 |
+
self.expand_abbreviations = lambda x: x
|
565 |
+
self.phonemizer = "espeak"
|
566 |
+
|
567 |
+
elif language == "uzn":
|
568 |
+
self.g2p_lang = "uz" # Uzbek
|
569 |
+
self.expand_abbreviations = lambda x: x
|
570 |
+
self.phonemizer = "espeak"
|
571 |
+
|
572 |
+
elif language == "cym":
|
573 |
+
self.g2p_lang = "cy" # Welsh
|
574 |
+
self.expand_abbreviations = lambda x: x
|
575 |
+
self.phonemizer = "espeak"
|
576 |
+
|
577 |
+
else:
|
578 |
+
# blanket solution for the rest
|
579 |
+
print("Using Transphone. A specialized phonemizer might work better.")
|
580 |
+
self.g2p_lang = language
|
581 |
+
self.phonemizer = "transphone"
|
582 |
+
self.expand_abbreviations = lambda x: x
|
583 |
+
self.transphone = read_g2p(device=device)
|
584 |
+
|
585 |
+
# remember to also update get_language_id() below when adding something here, as well as the get_example_sentence function
|
586 |
+
|
587 |
+
if self.phonemizer == "espeak":
|
588 |
+
try:
|
589 |
+
self.phonemizer_backend = EspeakBackend(language=self.g2p_lang,
|
590 |
+
punctuation_marks=';:,.!?¡¿—…()"«»“”~/。【】、‥،؟“”؛',
|
591 |
+
preserve_punctuation=True,
|
592 |
+
language_switch='remove-flags',
|
593 |
+
with_stress=True,
|
594 |
+
logger=logging.getLogger(__file__))
|
595 |
+
except RuntimeError:
|
596 |
+
print("Error in loading espeak! \n"
|
597 |
+
"Maybe espeak is not installed on your system? \n"
|
598 |
+
"Falling back to transphone.")
|
599 |
+
from transphone.g2p import read_g2p
|
600 |
+
self.g2p_lang = self.language
|
601 |
+
self.phonemizer = "transphone"
|
602 |
+
self.expand_abbreviations = lambda x: x
|
603 |
+
self.transphone = read_g2p()
|
604 |
+
self.phone_to_vector = generate_feature_table()
|
605 |
+
self.phone_to_id = get_phone_to_id()
|
606 |
+
self.id_to_phone = {v: k for k, v in self.phone_to_id.items()}
|
607 |
+
self.text_vector_to_phone_cache = dict()
|
608 |
+
|
609 |
+
@staticmethod
|
610 |
+
def get_example_sentence(lang):
|
611 |
+
if lang == "eng":
|
612 |
+
return "This is a complex sentence, it even has a pause!"
|
613 |
+
elif lang == "deu":
|
614 |
+
return "Dies ist ein komplexer Satz, er hat sogar eine Pause!"
|
615 |
+
elif lang == "ell":
|
616 |
+
return "Αυτή είναι μια σύνθετη πρόταση, έχει ακόμη και παύση!"
|
617 |
+
elif lang == "spa":
|
618 |
+
return "Esta es una oración compleja, ¡incluso tiene una pausa!"
|
619 |
+
elif lang == "fin":
|
620 |
+
return "Tämä on monimutkainen lause, sillä on jopa tauko!"
|
621 |
+
elif lang == "rus":
|
622 |
+
return "Это сложное предложение, в нем даже есть пауза!"
|
623 |
+
elif lang == "hun":
|
624 |
+
return "Ez egy összetett mondat, még szünet is van benne!"
|
625 |
+
elif lang == "nld":
|
626 |
+
return "Dit is een complexe zin, er zit zelfs een pauze in!"
|
627 |
+
elif lang == "fra":
|
628 |
+
return "C'est une phrase complexe, elle a même une pause !"
|
629 |
+
elif lang == "por":
|
630 |
+
return "Esta é uma frase complexa, tem até uma pausa!"
|
631 |
+
elif lang == "pol":
|
632 |
+
return "To jest zdanie złożone, ma nawet pauzę!"
|
633 |
+
elif lang == "ita":
|
634 |
+
return "Questa è una frase complessa, ha anche una pausa!"
|
635 |
+
elif lang == "cmn":
|
636 |
+
return "这是一个复杂的句子,它甚至包含一个停顿。"
|
637 |
+
elif lang == "vie":
|
638 |
+
return "Đây là một câu phức tạp, nó thậm chí còn chứa một khoảng dừng."
|
639 |
+
else:
|
640 |
+
print(f"No example sentence specified for the language: {lang}\n "
|
641 |
+
f"Please specify an example sentence in the get_example_sentence function in Preprocessing/TextFrontend to track your progress.")
|
642 |
+
return None
|
643 |
+
|
644 |
+
def string_to_tensor(self, text, view=False, device="cpu", handle_missing=True, input_phonemes=False):
|
645 |
+
"""
|
646 |
+
Fixes unicode errors, expands some abbreviations,
|
647 |
+
turns graphemes into phonemes and then vectorizes
|
648 |
+
the sequence as articulatory features
|
649 |
+
"""
|
650 |
+
if input_phonemes:
|
651 |
+
phones = text
|
652 |
+
else:
|
653 |
+
phones = self.get_phone_string(text=text, include_eos_symbol=True, for_feature_extraction=True)
|
654 |
+
phones = phones.replace("ɚ", "��").replace("ᵻ", "ɨ")
|
655 |
+
if view:
|
656 |
+
print("Phonemes: \n{}\n".format(phones))
|
657 |
+
phones_vector = list()
|
658 |
+
# turn into numeric vectors
|
659 |
+
stressed_flag = False
|
660 |
+
|
661 |
+
for char in phones:
|
662 |
+
# affects following phoneme -----------------
|
663 |
+
if char.strip() == '\u02C8':
|
664 |
+
# primary stress
|
665 |
+
stressed_flag = True
|
666 |
+
# affects previous phoneme -----------------
|
667 |
+
elif char.strip() == '\u02D0':
|
668 |
+
# lengthened
|
669 |
+
phones_vector[-1][get_feature_to_index_lookup()["lengthened"]] = 1
|
670 |
+
elif char.strip() == '\u02D1':
|
671 |
+
# half length
|
672 |
+
phones_vector[-1][get_feature_to_index_lookup()["half-length"]] = 1
|
673 |
+
elif char.strip() == '\u0306':
|
674 |
+
# shortened
|
675 |
+
phones_vector[-1][get_feature_to_index_lookup()["shortened"]] = 1
|
676 |
+
elif char.strip() == '̃' and phones_vector[-1][get_feature_to_index_lookup()["nasal"]] != 1:
|
677 |
+
# nasalized (vowel)
|
678 |
+
phones_vector[-1][get_feature_to_index_lookup()["nasal"]] = 2
|
679 |
+
elif char.strip() == "̧" != phones_vector[-1][get_feature_to_index_lookup()["palatal"]] != 1:
|
680 |
+
# palatalized
|
681 |
+
phones_vector[-1][get_feature_to_index_lookup()["palatal"]] = 2
|
682 |
+
elif char.strip() == "ʷ" and phones_vector[-1][get_feature_to_index_lookup()["labial-velar"]] != 1:
|
683 |
+
# labialized
|
684 |
+
phones_vector[-1][get_feature_to_index_lookup()["labial-velar"]] = 2
|
685 |
+
elif char.strip() == "ʰ" and phones_vector[-1][get_feature_to_index_lookup()["aspirated"]] != 1:
|
686 |
+
# aspirated
|
687 |
+
phones_vector[-1][get_feature_to_index_lookup()["aspirated"]] = 2
|
688 |
+
elif char.strip() == "ˠ" and phones_vector[-1][get_feature_to_index_lookup()["velar"]] != 1:
|
689 |
+
# velarized
|
690 |
+
phones_vector[-1][get_feature_to_index_lookup()["velar"]] = 2
|
691 |
+
elif char.strip() == "ˁ" and phones_vector[-1][get_feature_to_index_lookup()["pharyngal"]] != 1:
|
692 |
+
# pharyngealized
|
693 |
+
phones_vector[-1][get_feature_to_index_lookup()["pharyngal"]] = 2
|
694 |
+
elif char.strip() == "ˀ" and phones_vector[-1][get_feature_to_index_lookup()["glottal"]] != 1:
|
695 |
+
# glottalized
|
696 |
+
phones_vector[-1][get_feature_to_index_lookup()["glottal"]] = 2
|
697 |
+
elif char.strip() == "ʼ" and phones_vector[-1][get_feature_to_index_lookup()["ejective"]] != 1:
|
698 |
+
# ejective
|
699 |
+
phones_vector[-1][get_feature_to_index_lookup()["ejective"]] = 2
|
700 |
+
elif char.strip() == "̹" and phones_vector[-1][get_feature_to_index_lookup()["rounded"]] != 1:
|
701 |
+
# rounding
|
702 |
+
phones_vector[-1][get_feature_to_index_lookup()["rounded"]] = 2
|
703 |
+
elif char.strip() == "̞" and phones_vector[-1][get_feature_to_index_lookup()["open"]] != 1:
|
704 |
+
# open
|
705 |
+
phones_vector[-1][get_feature_to_index_lookup()["open"]] = 2
|
706 |
+
elif char.strip() == "̪" and phones_vector[-1][get_feature_to_index_lookup()["dental"]] != 1:
|
707 |
+
# dental
|
708 |
+
phones_vector[-1][get_feature_to_index_lookup()["dental"]] = 2
|
709 |
+
elif char.strip() == "̬" and phones_vector[-1][get_feature_to_index_lookup()["voiced"]] != 1:
|
710 |
+
# voiced
|
711 |
+
phones_vector[-1][get_feature_to_index_lookup()["voiced"]] = 2
|
712 |
+
elif char.strip() == "̝" and phones_vector[-1][get_feature_to_index_lookup()["close"]] != 1:
|
713 |
+
# closed
|
714 |
+
phones_vector[-1][get_feature_to_index_lookup()["close"]] = 2
|
715 |
+
elif char.strip() == "̰" and phones_vector[-1][get_feature_to_index_lookup()["glottal"]] != 1 and phones_vector[-1][get_feature_to_index_lookup()["epiglottal"]] != 1:
|
716 |
+
# laryngalization
|
717 |
+
phones_vector[-1][get_feature_to_index_lookup()["glottal"]] = 2
|
718 |
+
phones_vector[-1][get_feature_to_index_lookup()["epiglottal"]] = 2
|
719 |
+
elif char.strip() == "̈" and phones_vector[-1][get_feature_to_index_lookup()["central"]] != 1:
|
720 |
+
# centralization
|
721 |
+
phones_vector[-1][get_feature_to_index_lookup()["central"]] = 2
|
722 |
+
elif char.strip() == "̜" and phones_vector[-1][get_feature_to_index_lookup()["unrounded"]] != 1:
|
723 |
+
# unrounded
|
724 |
+
phones_vector[-1][get_feature_to_index_lookup()["unrounded"]] = 2
|
725 |
+
elif char.strip() == "̥" and phones_vector[-1][get_feature_to_index_lookup()["unvoiced"]] != 1:
|
726 |
+
# voiceless
|
727 |
+
phones_vector[-1][get_feature_to_index_lookup()["unvoiced"]] = 2
|
728 |
+
elif char.strip() == "˥":
|
729 |
+
# very high tone
|
730 |
+
phones_vector[-1][get_feature_to_index_lookup()["very-high-tone"]] = 1
|
731 |
+
elif char.strip() == "˦":
|
732 |
+
# high tone
|
733 |
+
phones_vector[-1][get_feature_to_index_lookup()["high-tone"]] = 1
|
734 |
+
elif char.strip() == "˧":
|
735 |
+
# mid tone
|
736 |
+
phones_vector[-1][get_feature_to_index_lookup()["mid-tone"]] = 1
|
737 |
+
elif char.strip() == "˨":
|
738 |
+
# low tone
|
739 |
+
phones_vector[-1][get_feature_to_index_lookup()["low-tone"]] = 1
|
740 |
+
elif char.strip() == "˩":
|
741 |
+
# very low tone
|
742 |
+
phones_vector[-1][get_feature_to_index_lookup()["very-low-tone"]] = 1
|
743 |
+
elif char.strip() == "⭧":
|
744 |
+
# rising tone
|
745 |
+
phones_vector[-1][get_feature_to_index_lookup()["rising-tone"]] = 1
|
746 |
+
elif char.strip() == "⭨":
|
747 |
+
# falling tone
|
748 |
+
phones_vector[-1][get_feature_to_index_lookup()["falling-tone"]] = 1
|
749 |
+
elif char.strip() == "⮁":
|
750 |
+
# peaking tone
|
751 |
+
phones_vector[-1][get_feature_to_index_lookup()["peaking-tone"]] = 1
|
752 |
+
elif char.strip() == "⮃":
|
753 |
+
# dipping tone
|
754 |
+
phones_vector[-1][get_feature_to_index_lookup()["dipping-tone"]] = 1
|
755 |
+
else:
|
756 |
+
if handle_missing:
|
757 |
+
try:
|
758 |
+
phones_vector.append(self.phone_to_vector[char].copy())
|
759 |
+
except KeyError:
|
760 |
+
print("unknown phoneme: {}".format(char))
|
761 |
+
else:
|
762 |
+
phones_vector.append(self.phone_to_vector[char].copy()) # leave error handling to elsewhere
|
763 |
+
# the following lines try to emulate whispering by removing all voiced features
|
764 |
+
# phones_vector[-1][get_feature_to_index_lookup()["voiced"]] = 0
|
765 |
+
# phones_vector[-1][get_feature_to_index_lookup()["unvoiced"]] = 1
|
766 |
+
# the following lines explore what would happen, if the system is told to produce sounds a human cannot
|
767 |
+
# for dim, _ in enumerate(phones_vector[-1]):
|
768 |
+
# phones_vector[-1][dim] = 1
|
769 |
+
if stressed_flag:
|
770 |
+
stressed_flag = False
|
771 |
+
phones_vector[-1][get_feature_to_index_lookup()["stressed"]] = 1
|
772 |
+
|
773 |
+
return torch.Tensor(phones_vector, device=device)
|
774 |
+
|
775 |
+
def get_phone_string(self, text, include_eos_symbol=True, for_feature_extraction=False, for_plot_labels=False):
|
776 |
+
if text == "":
|
777 |
+
return ""
|
778 |
+
# expand abbreviations
|
779 |
+
utt = self.expand_abbreviations(text)
|
780 |
+
|
781 |
+
# convert the graphemes to phonemes here
|
782 |
+
if self.phonemizer == "espeak":
|
783 |
+
try:
|
784 |
+
phones = self.phonemizer_backend.phonemize([utt], strip=True)[0] # To use a different phonemizer, this is the only line that needs to be exchanged
|
785 |
+
except:
|
786 |
+
print(f"There was an error with espeak. \nFalling back to transphone.\nSentence: {utt} \nLanguage {self.g2p_lang}")
|
787 |
+
from transphone.g2p import read_g2p
|
788 |
+
self.g2p_lang = self.language
|
789 |
+
self.phonemizer = "transphone"
|
790 |
+
self.expand_abbreviations = lambda x: x
|
791 |
+
self.transphone = read_g2p()
|
792 |
+
return self.get_phone_string(text, include_eos_symbol, for_feature_extraction, for_plot_labels)
|
793 |
+
elif self.phonemizer == "transphone":
|
794 |
+
replacements = [
|
795 |
+
# punctuation in languages with non-latin script
|
796 |
+
("。", "~"),
|
797 |
+
(",", "~"),
|
798 |
+
("【", '~'),
|
799 |
+
("】", '~'),
|
800 |
+
("、", "~"),
|
801 |
+
("‥", "~"),
|
802 |
+
("؟", "~"),
|
803 |
+
("،", "~"),
|
804 |
+
("“", '~'),
|
805 |
+
("”", '~'),
|
806 |
+
("؛", "~"),
|
807 |
+
("《", '~'),
|
808 |
+
("》", '~'),
|
809 |
+
("?", "~"),
|
810 |
+
("!", "~"),
|
811 |
+
(" :", "~"),
|
812 |
+
(" ;", "~"),
|
813 |
+
("-", "~"),
|
814 |
+
("·", " "),
|
815 |
+
("`", ""),
|
816 |
+
# symbols that indicate a pause or silence
|
817 |
+
('"', "~"),
|
818 |
+
(" - ", "~ "),
|
819 |
+
("- ", "~ "),
|
820 |
+
("-", ""),
|
821 |
+
("…", "~"),
|
822 |
+
(":", "~"),
|
823 |
+
(";", "~"),
|
824 |
+
(",", "~") # make sure this remains the final one when adding new ones
|
825 |
+
]
|
826 |
+
for replacement in replacements:
|
827 |
+
utt = utt.replace(replacement[0], replacement[1])
|
828 |
+
utt = re.sub("~+", "~", utt)
|
829 |
+
utt = re.sub(r"\s+", " ", utt)
|
830 |
+
utt = re.sub(r"\.+", ".", utt)
|
831 |
+
chunk_list = list()
|
832 |
+
for chunk in utt.split("~"):
|
833 |
+
# unfortunately the transphone tokenizer is not suited for any languages besides English it seems
|
834 |
+
# this is not much better, but maybe a little.
|
835 |
+
word_list = list()
|
836 |
+
for word_by_whitespace in chunk.split():
|
837 |
+
word_list.append(self.transphone.inference(word_by_whitespace, self.g2p_lang))
|
838 |
+
chunk_list.append(" ".join(["".join(word) for word in word_list]))
|
839 |
+
phones = "~ ".join(chunk_list)
|
840 |
+
elif self.phonemizer == "dragonmapper":
|
841 |
+
phones = pinyin_to_ipa(utt)
|
842 |
+
|
843 |
+
# Unfortunately tonal languages don't agree on the tone, most tonal
|
844 |
+
# languages use different tones denoted by different numbering
|
845 |
+
# systems. At this point in the script, it is attempted to unify
|
846 |
+
# them all to the tones in the IPA standard.
|
847 |
+
if self.g2p_lang == "vi":
|
848 |
+
phones = phones.replace('1', "˧")
|
849 |
+
phones = phones.replace('2', "˨˩")
|
850 |
+
phones = phones.replace('ɜ', "˧˥") # I'm fairly certain that this is a bug in espeak and ɜ is meant to be 3
|
851 |
+
phones = phones.replace('3', "˧˥") # I'm fairly certain that this is a bug in espeak and ɜ is meant to be 3
|
852 |
+
phones = phones.replace('4', "˦˧˥")
|
853 |
+
phones = phones.replace('5', "˧˩˧")
|
854 |
+
phones = phones.replace('6', "˧˩˨ʔ") # very weird tone, because the tone introduces another phoneme
|
855 |
+
phones = phones.replace('7', "˧")
|
856 |
+
elif self.g2p_lang == "yue":
|
857 |
+
phones = phones.replace('1', "˥")
|
858 |
+
phones = phones.replace('2', "˧˥")
|
859 |
+
phones = phones.replace('3', "˧")
|
860 |
+
phones = phones.replace('4', "˧˩")
|
861 |
+
phones = phones.replace('5', "˩˧")
|
862 |
+
phones = phones.replace('6', "˨")
|
863 |
+
# more of this handling for more tonal languages can be added here, simply make an elif statement and check for the language.
|
864 |
+
return self.postprocess_phoneme_string(phones, for_feature_extraction, include_eos_symbol, for_plot_labels)
|
865 |
+
|
866 |
+
def postprocess_phoneme_string(self, phoneme_string, for_feature_extraction, include_eos_symbol, for_plot_labels):
|
867 |
+
"""
|
868 |
+
Takes as input a phoneme string and processes it to work best with the way we represent phonemes as featurevectors
|
869 |
+
"""
|
870 |
+
replacements = [
|
871 |
+
# punctuation in languages with non-latin script
|
872 |
+
("。", "."),
|
873 |
+
(",", ","),
|
874 |
+
("【", '"'),
|
875 |
+
("】", '"'),
|
876 |
+
("、", ","),
|
877 |
+
("‥", "…"),
|
878 |
+
("؟", "?"),
|
879 |
+
("،", ","),
|
880 |
+
("“", '"'),
|
881 |
+
("”", '"'),
|
882 |
+
("؛", ","),
|
883 |
+
("《", '"'),
|
884 |
+
("》", '"'),
|
885 |
+
("?", "?"),
|
886 |
+
("!", "!"),
|
887 |
+
(" :", ":"),
|
888 |
+
(" ;", ";"),
|
889 |
+
("-", "-"),
|
890 |
+
("·", " "),
|
891 |
+
# latin script punctuation
|
892 |
+
("/", " "),
|
893 |
+
("—", ""),
|
894 |
+
("(", "~"),
|
895 |
+
(")", "~"),
|
896 |
+
("...", "…"),
|
897 |
+
("\n", ", "),
|
898 |
+
("\t", " "),
|
899 |
+
("¡", ""),
|
900 |
+
("¿", ""),
|
901 |
+
("«", '"'),
|
902 |
+
("»", '"'),
|
903 |
+
# unifying some phoneme representations
|
904 |
+
("N", "ŋ"), # somehow transphone doesn't transform this to IPA
|
905 |
+
("ɫ", "l"), # alveolopalatal
|
906 |
+
("ɚ", "ə"),
|
907 |
+
("g", "ɡ"),
|
908 |
+
("ε", "e"),
|
909 |
+
("ʦ", "ts"),
|
910 |
+
("ˤ", "ˁ"),
|
911 |
+
('ᵻ', 'ɨ'),
|
912 |
+
("ɧ", "ç"), # velopalatal
|
913 |
+
("ɥ", "j"), # labiopalatal
|
914 |
+
("ɬ", "s"), # lateral
|
915 |
+
("ɮ", "z"), # lateral
|
916 |
+
('ɺ', 'ɾ'), # lateral
|
917 |
+
('ʲ', 'j'), # decomposed palatalization
|
918 |
+
('\u02CC', ""), # secondary stress
|
919 |
+
('\u030B', "˥"),
|
920 |
+
('\u0301', "˦"),
|
921 |
+
('\u0304', "˧"),
|
922 |
+
('\u0300', "˨"),
|
923 |
+
('\u030F', "˩"),
|
924 |
+
('\u0302', "⭨"),
|
925 |
+
('\u030C', "⭧"),
|
926 |
+
("꜖", "˩"),
|
927 |
+
("꜕", "˨"),
|
928 |
+
("꜔", "˧"),
|
929 |
+
("꜓", "˦"),
|
930 |
+
("꜒", "˥"),
|
931 |
+
# symbols that indicate a pause or silence
|
932 |
+
('"', "~"),
|
933 |
+
(" - ", "~ "),
|
934 |
+
("- ", "~ "),
|
935 |
+
("-", ""),
|
936 |
+
("…", "."),
|
937 |
+
(":", "~"),
|
938 |
+
(";", "~"),
|
939 |
+
(",", "~") # make sure this remains the final one when adding new ones
|
940 |
+
]
|
941 |
+
unsupported_ipa_characters = {'̙', '̯', '̤', '̩', '̠', '̟', 'ꜜ', '̽', '|', '•', '↘',
|
942 |
+
'‖', '‿', 'ᷝ', 'ᷠ', '̚', '↗', 'ꜛ', '̻', '̘', '͡', '̺'}
|
943 |
+
# https://en.wikipedia.org/wiki/IPA_number
|
944 |
+
for char in unsupported_ipa_characters:
|
945 |
+
replacements.append((char, ""))
|
946 |
+
|
947 |
+
if not for_feature_extraction:
|
948 |
+
# in case we want to plot etc., we only need the segmental units, so we remove everything else.
|
949 |
+
replacements = replacements + [
|
950 |
+
('\u02C8', ""), # primary stress
|
951 |
+
('\u02D0', ""), # lengthened
|
952 |
+
('\u02D1', ""), # half-length
|
953 |
+
('\u0306', ""), # shortened
|
954 |
+
("˥", ""), # very high tone
|
955 |
+
("˦", ""), # high tone
|
956 |
+
("˧", ""), # mid tone
|
957 |
+
("˨", ""), # low tone
|
958 |
+
("˩", ""), # very low tone
|
959 |
+
('\u030C', ""), # rising tone
|
960 |
+
('\u0302', ""), # falling tone
|
961 |
+
('⭧', ""), # rising
|
962 |
+
('⭨', ""), # falling
|
963 |
+
('⮃', ""), # dipping
|
964 |
+
('⮁', ""), # peaking
|
965 |
+
('̃', ""), # nasalizing
|
966 |
+
("̧", ""), # palatalized
|
967 |
+
("ʷ", ""), # labialized
|
968 |
+
("ʰ", ""), # aspirated
|
969 |
+
("ˠ", ""), # velarized
|
970 |
+
("ˁ", ""), # pharyngealized
|
971 |
+
("ˀ", ""), # glottalized
|
972 |
+
("ʼ", ""), # ejective
|
973 |
+
("̹", ""), # rounding
|
974 |
+
("̞", ""), # open
|
975 |
+
("̪", ""), # dental
|
976 |
+
("̬", ""), # voiced
|
977 |
+
("̝", ""), # closed
|
978 |
+
("̰", ""), # laryngalization
|
979 |
+
("̈", ""), # centralization
|
980 |
+
("̜", ""), # unrounded
|
981 |
+
("̥", ""), # voiceless
|
982 |
+
]
|
983 |
+
for replacement in replacements:
|
984 |
+
phoneme_string = phoneme_string.replace(replacement[0], replacement[1])
|
985 |
+
phones = re.sub("~+", "~", phoneme_string)
|
986 |
+
phones = re.sub(r"\s+", " ", phones)
|
987 |
+
phones = re.sub(r"\.+", ".", phones)
|
988 |
+
phones = phones.lstrip("~").rstrip("~")
|
989 |
+
|
990 |
+
# peaking tones
|
991 |
+
for peaking_perm in self.peaking_perms:
|
992 |
+
phones = phones.replace(peaking_perm, "⮁".join(peaking_perm))
|
993 |
+
# dipping tones
|
994 |
+
for dipping_perm in self.dipping_perms:
|
995 |
+
phones = phones.replace(dipping_perm, "⮃".join(dipping_perm))
|
996 |
+
# rising tones
|
997 |
+
for rising_perm in self.rising_perms:
|
998 |
+
phones = phones.replace(rising_perm, "⭧".join(rising_perm))
|
999 |
+
# falling tones
|
1000 |
+
for falling_perm in self.falling_perms:
|
1001 |
+
phones = phones.replace(falling_perm, "⭨".join(falling_perm))
|
1002 |
+
|
1003 |
+
if self.add_silence_to_end:
|
1004 |
+
phones += "~" # adding a silence in the end during inference produces more natural sounding prosody
|
1005 |
+
if include_eos_symbol:
|
1006 |
+
phones += "#"
|
1007 |
+
if not self.use_word_boundaries:
|
1008 |
+
phones = phones.replace(" ", "")
|
1009 |
+
if for_plot_labels:
|
1010 |
+
phones = phones.replace(" ", "|")
|
1011 |
+
|
1012 |
+
phones = "~" + phones
|
1013 |
+
phones = re.sub("~+", "~", phones)
|
1014 |
+
|
1015 |
+
return phones
|
1016 |
+
|
1017 |
+
def text_vectors_to_id_sequence(self, text_vector):
|
1018 |
+
tokens = list()
|
1019 |
+
for vector in text_vector:
|
1020 |
+
if vector[get_feature_to_index_lookup()["word-boundary"]] == 0:
|
1021 |
+
# we don't include word boundaries when performing alignment, since they are not always present in audio.
|
1022 |
+
features = vector.cpu().numpy().tolist()
|
1023 |
+
immutable_vector = tuple(features)
|
1024 |
+
if immutable_vector in self.text_vector_to_phone_cache:
|
1025 |
+
tokens.append(self.phone_to_id[self.text_vector_to_phone_cache[immutable_vector]])
|
1026 |
+
continue
|
1027 |
+
features = features[13:]
|
1028 |
+
# the first 12 dimensions are for modifiers, so we ignore those when trying to find the phoneme in the ID lookup
|
1029 |
+
for index in range(len(features)):
|
1030 |
+
if features[index] == 2:
|
1031 |
+
# we remove all features that stem from a modifier, so we can map back to the unmodified sound
|
1032 |
+
features[index] = 0
|
1033 |
+
for phone in self.phone_to_vector:
|
1034 |
+
if features == self.phone_to_vector[phone][13:]:
|
1035 |
+
tokens.append(self.phone_to_id[phone])
|
1036 |
+
self.text_vector_to_phone_cache[immutable_vector] = phone
|
1037 |
+
# this is terribly inefficient, but it's fine, since we're building a cache over time that makes this instant
|
1038 |
+
break
|
1039 |
+
return tokens
|
1040 |
+
|
1041 |
+
|
1042 |
+
def english_text_expansion(text):
|
1043 |
+
"""
|
1044 |
+
Apply as small part of the tacotron style text cleaning pipeline, suitable for e.g. LJSpeech.
|
1045 |
+
See https://github.com/keithito/tacotron/
|
1046 |
+
Careful: Only apply to english datasets. Different languages need different cleaners.
|
1047 |
+
"""
|
1048 |
+
_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in
|
1049 |
+
[('Mrs.', 'misess'), ('Mr.', 'mister'), ('Dr.', 'doctor'), ('St.', 'saint'), ('Co.', 'company'), ('Jr.', 'junior'), ('Maj.', 'major'),
|
1050 |
+
('Gen.', 'general'), ('Drs.', 'doctors'), ('Rev.', 'reverend'), ('Lt.', 'lieutenant'), ('Hon.', 'honorable'), ('Sgt.', 'sergeant'),
|
1051 |
+
('Capt.', 'captain'), ('Esq.', 'esquire'), ('Ltd.', 'limited'), ('Col.', 'colonel'), ('Ft.', 'fort')]]
|
1052 |
+
for regex, replacement in _abbreviations:
|
1053 |
+
text = re.sub(regex, replacement, text)
|
1054 |
+
return text
|
1055 |
+
|
1056 |
+
|
1057 |
+
def remove_french_spacing(text):
|
1058 |
+
text = text.replace(" »", '"').replace("« ", '"')
|
1059 |
+
for punc in ["!", ";", ":", ".", ",", "?", "-"]:
|
1060 |
+
text = text.replace(f" {punc}", punc)
|
1061 |
+
return text
|
1062 |
+
|
1063 |
+
|
1064 |
+
def convert_kanji_to_pinyin_mandarin(text):
|
1065 |
+
return " ".join([x[0] for x in pinyin(text)])
|
1066 |
+
|
1067 |
+
|
1068 |
+
def get_language_id(language, iso_lookup_path="./iso_lookup.json"):
|
1069 |
+
iso_codes_to_ids = load_json_from_path(iso_lookup_path)[-1]
|
1070 |
+
if language not in iso_codes_to_ids:
|
1071 |
+
print("Please specify the language as ISO 639-3 code (https://en.wikipedia.org/wiki/List_of_ISO_639-3_codes)")
|
1072 |
+
return None
|
1073 |
+
return torch.LongTensor([iso_codes_to_ids[language]])
|
articulatory_features.py
ADDED
@@ -0,0 +1,966 @@
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|
1 |
+
# -*- coding: utf-8 -*-
|
2 |
+
|
3 |
+
|
4 |
+
# partly derived from an open-source resource provided by Papercup Technologies Limited
|
5 |
+
# Resource-Author: Marlene Staib
|
6 |
+
# Modified by Florian Lux, 2021
|
7 |
+
# Further modified by Florian Lux, 2022
|
8 |
+
|
9 |
+
|
10 |
+
"""
|
11 |
+
All phonemes in the IPA standard are supported.
|
12 |
+
|
13 |
+
zero-width characters are generally not supported, as
|
14 |
+
well as some other modifiers. Tone, stress and
|
15 |
+
lengthening are represented with placeholder dimensions,
|
16 |
+
however they need to be set manually, this conversion
|
17 |
+
from phonemes to features works on a character by
|
18 |
+
character basis. In a few cases, the place of
|
19 |
+
articulation is approximated because only one phoneme
|
20 |
+
had such a combination, which does not warrant a new
|
21 |
+
dimension.
|
22 |
+
"""
|
23 |
+
|
24 |
+
|
25 |
+
def generate_feature_lookup():
|
26 |
+
return {
|
27 |
+
'~': {'symbol_type': 'silence'},
|
28 |
+
'#': {'symbol_type': 'end of sentence'},
|
29 |
+
'?': {'symbol_type': 'questionmark'},
|
30 |
+
'!': {'symbol_type': 'exclamationmark'},
|
31 |
+
'.': {'symbol_type': 'fullstop'},
|
32 |
+
' ': {'symbol_type': 'word-boundary'},
|
33 |
+
'ɜ': {
|
34 |
+
'symbol_type' : 'phoneme',
|
35 |
+
'vowel_consonant' : 'vowel',
|
36 |
+
'VUV' : 'voiced',
|
37 |
+
'vowel_frontness' : 'central',
|
38 |
+
'vowel_openness' : 'open-mid',
|
39 |
+
'vowel_roundedness': 'unrounded',
|
40 |
+
},
|
41 |
+
'ə': {
|
42 |
+
'symbol_type' : 'phoneme',
|
43 |
+
'vowel_consonant' : 'vowel',
|
44 |
+
'VUV' : 'voiced',
|
45 |
+
'vowel_frontness' : 'central',
|
46 |
+
'vowel_openness' : 'mid',
|
47 |
+
'vowel_roundedness': 'unrounded',
|
48 |
+
},
|
49 |
+
'a': {
|
50 |
+
'symbol_type' : 'phoneme',
|
51 |
+
'vowel_consonant' : 'vowel',
|
52 |
+
'VUV' : 'voiced',
|
53 |
+
'vowel_frontness' : 'front',
|
54 |
+
'vowel_openness' : 'open',
|
55 |
+
'vowel_roundedness': 'unrounded',
|
56 |
+
},
|
57 |
+
'ð': {
|
58 |
+
'symbol_type' : 'phoneme',
|
59 |
+
'vowel_consonant' : 'consonant',
|
60 |
+
'VUV' : 'voiced',
|
61 |
+
'consonant_place' : 'dental',
|
62 |
+
'consonant_manner': 'fricative'
|
63 |
+
},
|
64 |
+
'ɛ': {
|
65 |
+
'symbol_type' : 'phoneme',
|
66 |
+
'vowel_consonant' : 'vowel',
|
67 |
+
'VUV' : 'voiced',
|
68 |
+
'vowel_frontness' : 'front',
|
69 |
+
'vowel_openness' : 'open-mid',
|
70 |
+
'vowel_roundedness': 'unrounded',
|
71 |
+
},
|
72 |
+
'ɪ': {
|
73 |
+
'symbol_type' : 'phoneme',
|
74 |
+
'vowel_consonant' : 'vowel',
|
75 |
+
'VUV' : 'voiced',
|
76 |
+
'vowel_frontness' : 'front_central',
|
77 |
+
'vowel_openness' : 'close_close-mid',
|
78 |
+
'vowel_roundedness': 'unrounded',
|
79 |
+
},
|
80 |
+
'ŋ': {
|
81 |
+
'symbol_type' : 'phoneme',
|
82 |
+
'vowel_consonant' : 'consonant',
|
83 |
+
'VUV' : 'voiced',
|
84 |
+
'consonant_place' : 'velar',
|
85 |
+
'consonant_manner': 'nasal'
|
86 |
+
},
|
87 |
+
'ɔ': {
|
88 |
+
'symbol_type' : 'phoneme',
|
89 |
+
'vowel_consonant' : 'vowel',
|
90 |
+
'VUV' : 'voiced',
|
91 |
+
'vowel_frontness' : 'back',
|
92 |
+
'vowel_openness' : 'open-mid',
|
93 |
+
'vowel_roundedness': 'rounded',
|
94 |
+
},
|
95 |
+
'ɒ': {
|
96 |
+
'symbol_type' : 'phoneme',
|
97 |
+
'vowel_consonant' : 'vowel',
|
98 |
+
'VUV' : 'voiced',
|
99 |
+
'vowel_frontness' : 'back',
|
100 |
+
'vowel_openness' : 'open',
|
101 |
+
'vowel_roundedness': 'rounded',
|
102 |
+
},
|
103 |
+
'ɾ': {
|
104 |
+
'symbol_type' : 'phoneme',
|
105 |
+
'vowel_consonant' : 'consonant',
|
106 |
+
'VUV' : 'voiced',
|
107 |
+
'consonant_place' : 'alveolar',
|
108 |
+
'consonant_manner': 'flap'
|
109 |
+
},
|
110 |
+
'ʃ': {
|
111 |
+
'symbol_type' : 'phoneme',
|
112 |
+
'vowel_consonant' : 'consonant',
|
113 |
+
'VUV' : 'unvoiced',
|
114 |
+
'consonant_place' : 'postalveolar',
|
115 |
+
'consonant_manner': 'fricative'
|
116 |
+
},
|
117 |
+
'θ': {
|
118 |
+
'symbol_type' : 'phoneme',
|
119 |
+
'vowel_consonant' : 'consonant',
|
120 |
+
'VUV' : 'unvoiced',
|
121 |
+
'consonant_place' : 'dental',
|
122 |
+
'consonant_manner': 'fricative'
|
123 |
+
},
|
124 |
+
'ʊ': {
|
125 |
+
'symbol_type' : 'phoneme',
|
126 |
+
'vowel_consonant' : 'vowel',
|
127 |
+
'VUV' : 'voiced',
|
128 |
+
'vowel_frontness' : 'central_back',
|
129 |
+
'vowel_openness' : 'close_close-mid',
|
130 |
+
'vowel_roundedness': 'unrounded'
|
131 |
+
},
|
132 |
+
'ʌ': {
|
133 |
+
'symbol_type' : 'phoneme',
|
134 |
+
'vowel_consonant' : 'vowel',
|
135 |
+
'VUV' : 'voiced',
|
136 |
+
'vowel_frontness' : 'back',
|
137 |
+
'vowel_openness' : 'open-mid',
|
138 |
+
'vowel_roundedness': 'unrounded'
|
139 |
+
},
|
140 |
+
'ʒ': {
|
141 |
+
'symbol_type' : 'phoneme',
|
142 |
+
'vowel_consonant' : 'consonant',
|
143 |
+
'VUV' : 'voiced',
|
144 |
+
'consonant_place' : 'postalveolar',
|
145 |
+
'consonant_manner': 'fricative'
|
146 |
+
},
|
147 |
+
'æ': {
|
148 |
+
'symbol_type' : 'phoneme',
|
149 |
+
'vowel_consonant' : 'vowel',
|
150 |
+
'VUV' : 'voiced',
|
151 |
+
'vowel_frontness' : 'front',
|
152 |
+
'vowel_openness' : 'open-mid_open',
|
153 |
+
'vowel_roundedness': 'unrounded'
|
154 |
+
},
|
155 |
+
'b': {
|
156 |
+
'symbol_type' : 'phoneme',
|
157 |
+
'vowel_consonant' : 'consonant',
|
158 |
+
'VUV' : 'voiced',
|
159 |
+
'consonant_place' : 'bilabial',
|
160 |
+
'consonant_manner': 'plosive'
|
161 |
+
},
|
162 |
+
'ʔ': {
|
163 |
+
'symbol_type' : 'phoneme',
|
164 |
+
'vowel_consonant' : 'consonant',
|
165 |
+
'VUV' : 'unvoiced',
|
166 |
+
'consonant_place' : 'glottal',
|
167 |
+
'consonant_manner': 'plosive'
|
168 |
+
},
|
169 |
+
'd': {
|
170 |
+
'symbol_type' : 'phoneme',
|
171 |
+
'vowel_consonant' : 'consonant',
|
172 |
+
'VUV' : 'voiced',
|
173 |
+
'consonant_place' : 'alveolar',
|
174 |
+
'consonant_manner': 'plosive'
|
175 |
+
},
|
176 |
+
'e': {
|
177 |
+
'symbol_type' : 'phoneme',
|
178 |
+
'vowel_consonant' : 'vowel',
|
179 |
+
'VUV' : 'voiced',
|
180 |
+
'vowel_frontness' : 'front',
|
181 |
+
'vowel_openness' : 'close-mid',
|
182 |
+
'vowel_roundedness': 'unrounded'
|
183 |
+
},
|
184 |
+
'f': {
|
185 |
+
'symbol_type' : 'phoneme',
|
186 |
+
'vowel_consonant' : 'consonant',
|
187 |
+
'VUV' : 'unvoiced',
|
188 |
+
'consonant_place' : 'labiodental',
|
189 |
+
'consonant_manner': 'fricative'
|
190 |
+
},
|
191 |
+
'ɡ': {
|
192 |
+
'symbol_type' : 'phoneme',
|
193 |
+
'vowel_consonant' : 'consonant',
|
194 |
+
'VUV' : 'voiced',
|
195 |
+
'consonant_place' : 'velar',
|
196 |
+
'consonant_manner': 'plosive'
|
197 |
+
},
|
198 |
+
'h': {
|
199 |
+
'symbol_type' : 'phoneme',
|
200 |
+
'vowel_consonant' : 'consonant',
|
201 |
+
'VUV' : 'unvoiced',
|
202 |
+
'consonant_place' : 'glottal',
|
203 |
+
'consonant_manner': 'fricative'
|
204 |
+
},
|
205 |
+
'i': {
|
206 |
+
'symbol_type' : 'phoneme',
|
207 |
+
'vowel_consonant' : 'vowel',
|
208 |
+
'VUV' : 'voiced',
|
209 |
+
'vowel_frontness' : 'front',
|
210 |
+
'vowel_openness' : 'close',
|
211 |
+
'vowel_roundedness': 'unrounded'
|
212 |
+
},
|
213 |
+
'j': {
|
214 |
+
'symbol_type' : 'phoneme',
|
215 |
+
'vowel_consonant' : 'consonant',
|
216 |
+
'VUV' : 'voiced',
|
217 |
+
'consonant_place' : 'palatal',
|
218 |
+
'consonant_manner': 'approximant'
|
219 |
+
},
|
220 |
+
'k': {
|
221 |
+
'symbol_type' : 'phoneme',
|
222 |
+
'vowel_consonant' : 'consonant',
|
223 |
+
'VUV' : 'unvoiced',
|
224 |
+
'consonant_place' : 'velar',
|
225 |
+
'consonant_manner': 'plosive'
|
226 |
+
},
|
227 |
+
'l': {
|
228 |
+
'symbol_type' : 'phoneme',
|
229 |
+
'vowel_consonant' : 'consonant',
|
230 |
+
'VUV' : 'voiced',
|
231 |
+
'consonant_place' : 'alveolar',
|
232 |
+
'consonant_manner': 'lateral-approximant'
|
233 |
+
},
|
234 |
+
'm': {
|
235 |
+
'symbol_type' : 'phoneme',
|
236 |
+
'vowel_consonant' : 'consonant',
|
237 |
+
'VUV' : 'voiced',
|
238 |
+
'consonant_place' : 'bilabial',
|
239 |
+
'consonant_manner': 'nasal'
|
240 |
+
},
|
241 |
+
'n': {
|
242 |
+
'symbol_type' : 'phoneme',
|
243 |
+
'vowel_consonant' : 'consonant',
|
244 |
+
'VUV' : 'voiced',
|
245 |
+
'consonant_place' : 'alveolar',
|
246 |
+
'consonant_manner': 'nasal'
|
247 |
+
},
|
248 |
+
'ɳ': {
|
249 |
+
'symbol_type' : 'phoneme',
|
250 |
+
'vowel_consonant' : 'consonant',
|
251 |
+
'VUV' : 'voiced',
|
252 |
+
'consonant_place' : 'retroflex',
|
253 |
+
'consonant_manner': 'nasal'
|
254 |
+
},
|
255 |
+
'o': {
|
256 |
+
'symbol_type' : 'phoneme',
|
257 |
+
'vowel_consonant' : 'vowel',
|
258 |
+
'VUV' : 'voiced',
|
259 |
+
'vowel_frontness' : 'back',
|
260 |
+
'vowel_openness' : 'close-mid',
|
261 |
+
'vowel_roundedness': 'rounded'
|
262 |
+
},
|
263 |
+
'p': {
|
264 |
+
'symbol_type' : 'phoneme',
|
265 |
+
'vowel_consonant' : 'consonant',
|
266 |
+
'VUV' : 'unvoiced',
|
267 |
+
'consonant_place' : 'bilabial',
|
268 |
+
'consonant_manner': 'plosive'
|
269 |
+
},
|
270 |
+
'ɹ': {
|
271 |
+
'symbol_type' : 'phoneme',
|
272 |
+
'vowel_consonant' : 'consonant',
|
273 |
+
'VUV' : 'voiced',
|
274 |
+
'consonant_place' : 'alveolar',
|
275 |
+
'consonant_manner': 'approximant'
|
276 |
+
},
|
277 |
+
'r': {
|
278 |
+
'symbol_type' : 'phoneme',
|
279 |
+
'vowel_consonant' : 'consonant',
|
280 |
+
'VUV' : 'voiced',
|
281 |
+
'consonant_place' : 'alveolar',
|
282 |
+
'consonant_manner': 'trill'
|
283 |
+
},
|
284 |
+
's': {
|
285 |
+
'symbol_type' : 'phoneme',
|
286 |
+
'vowel_consonant' : 'consonant',
|
287 |
+
'VUV' : 'unvoiced',
|
288 |
+
'consonant_place' : 'alveolar',
|
289 |
+
'consonant_manner': 'fricative'
|
290 |
+
},
|
291 |
+
't': {
|
292 |
+
'symbol_type' : 'phoneme',
|
293 |
+
'vowel_consonant' : 'consonant',
|
294 |
+
'VUV' : 'unvoiced',
|
295 |
+
'consonant_place' : 'alveolar',
|
296 |
+
'consonant_manner': 'plosive'
|
297 |
+
},
|
298 |
+
'u': {
|
299 |
+
'symbol_type' : 'phoneme',
|
300 |
+
'vowel_consonant' : 'vowel',
|
301 |
+
'VUV' : 'voiced',
|
302 |
+
'vowel_frontness' : 'back',
|
303 |
+
'vowel_openness' : 'close',
|
304 |
+
'vowel_roundedness': 'rounded',
|
305 |
+
},
|
306 |
+
'v': {
|
307 |
+
'symbol_type' : 'phoneme',
|
308 |
+
'vowel_consonant' : 'consonant',
|
309 |
+
'VUV' : 'voiced',
|
310 |
+
'consonant_place' : 'labiodental',
|
311 |
+
'consonant_manner': 'fricative'
|
312 |
+
},
|
313 |
+
'w': {
|
314 |
+
'symbol_type' : 'phoneme',
|
315 |
+
'vowel_consonant' : 'consonant',
|
316 |
+
'VUV' : 'voiced',
|
317 |
+
'consonant_place' : 'labial-velar',
|
318 |
+
'consonant_manner': 'approximant'
|
319 |
+
},
|
320 |
+
'x': {
|
321 |
+
'symbol_type' : 'phoneme',
|
322 |
+
'vowel_consonant' : 'consonant',
|
323 |
+
'VUV' : 'unvoiced',
|
324 |
+
'consonant_place' : 'velar',
|
325 |
+
'consonant_manner': 'fricative'
|
326 |
+
},
|
327 |
+
'z': {
|
328 |
+
'symbol_type' : 'phoneme',
|
329 |
+
'vowel_consonant' : 'consonant',
|
330 |
+
'VUV' : 'voiced',
|
331 |
+
'consonant_place' : 'alveolar',
|
332 |
+
'consonant_manner': 'fricative'
|
333 |
+
},
|
334 |
+
'ʀ': {
|
335 |
+
'symbol_type' : 'phoneme',
|
336 |
+
'vowel_consonant' : 'consonant',
|
337 |
+
'VUV' : 'voiced',
|
338 |
+
'consonant_place' : 'uvular',
|
339 |
+
'consonant_manner': 'trill'
|
340 |
+
},
|
341 |
+
'ø': {
|
342 |
+
'symbol_type' : 'phoneme',
|
343 |
+
'vowel_consonant' : 'vowel',
|
344 |
+
'VUV' : 'voiced',
|
345 |
+
'vowel_frontness' : 'front',
|
346 |
+
'vowel_openness' : 'close-mid',
|
347 |
+
'vowel_roundedness': 'rounded'
|
348 |
+
},
|
349 |
+
'ç': {
|
350 |
+
'symbol_type' : 'phoneme',
|
351 |
+
'vowel_consonant' : 'consonant',
|
352 |
+
'VUV' : 'unvoiced',
|
353 |
+
'consonant_place' : 'palatal',
|
354 |
+
'consonant_manner': 'fricative'
|
355 |
+
},
|
356 |
+
'ɐ': {
|
357 |
+
'symbol_type' : 'phoneme',
|
358 |
+
'vowel_consonant' : 'vowel',
|
359 |
+
'VUV' : 'voiced',
|
360 |
+
'vowel_frontness' : 'central',
|
361 |
+
'vowel_openness' : 'open',
|
362 |
+
'vowel_roundedness': 'unrounded'
|
363 |
+
},
|
364 |
+
'œ': {
|
365 |
+
'symbol_type' : 'phoneme',
|
366 |
+
'vowel_consonant' : 'vowel',
|
367 |
+
'VUV' : 'voiced',
|
368 |
+
'vowel_frontness' : 'front',
|
369 |
+
'vowel_openness' : 'open-mid',
|
370 |
+
'vowel_roundedness': 'rounded'
|
371 |
+
},
|
372 |
+
'y': {
|
373 |
+
'symbol_type' : 'phoneme',
|
374 |
+
'vowel_consonant' : 'vowel',
|
375 |
+
'VUV' : 'voiced',
|
376 |
+
'vowel_frontness' : 'front',
|
377 |
+
'vowel_openness' : 'close',
|
378 |
+
'vowel_roundedness': 'rounded'
|
379 |
+
},
|
380 |
+
'ʏ': {
|
381 |
+
'symbol_type' : 'phoneme',
|
382 |
+
'vowel_consonant' : 'vowel',
|
383 |
+
'VUV' : 'voiced',
|
384 |
+
'vowel_frontness' : 'front_central',
|
385 |
+
'vowel_openness' : 'close_close-mid',
|
386 |
+
'vowel_roundedness': 'rounded'
|
387 |
+
},
|
388 |
+
'ɑ': {
|
389 |
+
'symbol_type' : 'phoneme',
|
390 |
+
'vowel_consonant' : 'vowel',
|
391 |
+
'VUV' : 'voiced',
|
392 |
+
'vowel_frontness' : 'back',
|
393 |
+
'vowel_openness' : 'open',
|
394 |
+
'vowel_roundedness': 'unrounded'
|
395 |
+
},
|
396 |
+
'c': {
|
397 |
+
'symbol_type' : 'phoneme',
|
398 |
+
'vowel_consonant' : 'consonant',
|
399 |
+
'VUV' : 'unvoiced',
|
400 |
+
'consonant_place' : 'palatal',
|
401 |
+
'consonant_manner': 'plosive'
|
402 |
+
},
|
403 |
+
'ɲ': {
|
404 |
+
'symbol_type' : 'phoneme',
|
405 |
+
'vowel_consonant' : 'consonant',
|
406 |
+
'VUV' : 'voiced',
|
407 |
+
'consonant_place' : 'palatal',
|
408 |
+
'consonant_manner': 'nasal'
|
409 |
+
},
|
410 |
+
'ɣ': {
|
411 |
+
'symbol_type' : 'phoneme',
|
412 |
+
'vowel_consonant' : 'consonant',
|
413 |
+
'VUV' : 'voiced',
|
414 |
+
'consonant_place' : 'velar',
|
415 |
+
'consonant_manner': 'fricative'
|
416 |
+
},
|
417 |
+
'ʎ': {
|
418 |
+
'symbol_type' : 'phoneme',
|
419 |
+
'vowel_consonant' : 'consonant',
|
420 |
+
'VUV' : 'voiced',
|
421 |
+
'consonant_place' : 'palatal',
|
422 |
+
'consonant_manner': 'lateral-approximant'
|
423 |
+
},
|
424 |
+
'β': {
|
425 |
+
'symbol_type' : 'phoneme',
|
426 |
+
'vowel_consonant' : 'consonant',
|
427 |
+
'VUV' : 'voiced',
|
428 |
+
'consonant_place' : 'bilabial',
|
429 |
+
'consonant_manner': 'fricative'
|
430 |
+
},
|
431 |
+
'ʝ': {
|
432 |
+
'symbol_type' : 'phoneme',
|
433 |
+
'vowel_consonant' : 'consonant',
|
434 |
+
'VUV' : 'voiced',
|
435 |
+
'consonant_place' : 'palatal',
|
436 |
+
'consonant_manner': 'fricative'
|
437 |
+
},
|
438 |
+
'ɟ': {
|
439 |
+
'symbol_type' : 'phoneme',
|
440 |
+
'vowel_consonant' : 'consonant',
|
441 |
+
'VUV' : 'voiced',
|
442 |
+
'consonant_place' : 'palatal',
|
443 |
+
'consonant_manner': 'plosive'
|
444 |
+
},
|
445 |
+
'q': {
|
446 |
+
'symbol_type' : 'phoneme',
|
447 |
+
'vowel_consonant' : 'consonant',
|
448 |
+
'VUV' : 'unvoiced',
|
449 |
+
'consonant_place' : 'uvular',
|
450 |
+
'consonant_manner': 'plosive'
|
451 |
+
},
|
452 |
+
'ɕ': {
|
453 |
+
'symbol_type' : 'phoneme',
|
454 |
+
'vowel_consonant' : 'consonant',
|
455 |
+
'VUV' : 'unvoiced',
|
456 |
+
'consonant_place' : 'alveolopalatal',
|
457 |
+
'consonant_manner': 'fricative'
|
458 |
+
},
|
459 |
+
'ɭ': {
|
460 |
+
'symbol_type' : 'phoneme',
|
461 |
+
'vowel_consonant' : 'consonant',
|
462 |
+
'VUV' : 'voiced',
|
463 |
+
'consonant_place' : 'retroflex',
|
464 |
+
'consonant_manner': 'lateral-approximant'
|
465 |
+
},
|
466 |
+
'ɵ': {
|
467 |
+
'symbol_type' : 'phoneme',
|
468 |
+
'vowel_consonant' : 'vowel',
|
469 |
+
'VUV' : 'voiced',
|
470 |
+
'vowel_frontness' : 'central',
|
471 |
+
'vowel_openness' : 'close-mid',
|
472 |
+
'vowel_roundedness': 'rounded'
|
473 |
+
},
|
474 |
+
'ʑ': {
|
475 |
+
'symbol_type' : 'phoneme',
|
476 |
+
'vowel_consonant' : 'consonant',
|
477 |
+
'VUV' : 'voiced',
|
478 |
+
'consonant_place' : 'alveolopalatal',
|
479 |
+
'consonant_manner': 'fricative'
|
480 |
+
},
|
481 |
+
'ʋ': {
|
482 |
+
'symbol_type' : 'phoneme',
|
483 |
+
'vowel_consonant' : 'consonant',
|
484 |
+
'VUV' : 'voiced',
|
485 |
+
'consonant_place' : 'labiodental',
|
486 |
+
'consonant_manner': 'approximant'
|
487 |
+
},
|
488 |
+
'ʁ': {
|
489 |
+
'symbol_type' : 'phoneme',
|
490 |
+
'vowel_consonant' : 'consonant',
|
491 |
+
'VUV' : 'voiced',
|
492 |
+
'consonant_place' : 'uvular',
|
493 |
+
'consonant_manner': 'fricative'
|
494 |
+
},
|
495 |
+
'ɨ': {
|
496 |
+
'symbol_type' : 'phoneme',
|
497 |
+
'vowel_consonant' : 'vowel',
|
498 |
+
'VUV' : 'voiced',
|
499 |
+
'vowel_frontness' : 'central',
|
500 |
+
'vowel_openness' : 'close',
|
501 |
+
'vowel_roundedness': 'unrounded'
|
502 |
+
},
|
503 |
+
'ʂ': {
|
504 |
+
'symbol_type' : 'phoneme',
|
505 |
+
'vowel_consonant' : 'consonant',
|
506 |
+
'VUV' : 'unvoiced',
|
507 |
+
'consonant_place' : 'retroflex',
|
508 |
+
'consonant_manner': 'fricative'
|
509 |
+
},
|
510 |
+
'ɓ': {
|
511 |
+
'symbol_type' : 'phoneme',
|
512 |
+
'vowel_consonant' : 'consonant',
|
513 |
+
'VUV' : 'voiced',
|
514 |
+
'consonant_place' : 'bilabial',
|
515 |
+
'consonant_manner': 'implosive'
|
516 |
+
},
|
517 |
+
'ʙ': {
|
518 |
+
'symbol_type' : 'phoneme',
|
519 |
+
'vowel_consonant' : 'consonant',
|
520 |
+
'VUV' : 'voiced',
|
521 |
+
'consonant_place' : 'bilabial',
|
522 |
+
'consonant_manner': 'vibrant'
|
523 |
+
},
|
524 |
+
'ɗ': {
|
525 |
+
'symbol_type' : 'phoneme',
|
526 |
+
'vowel_consonant' : 'consonant',
|
527 |
+
'VUV' : 'voiced',
|
528 |
+
'consonant_place' : 'dental',
|
529 |
+
'consonant_manner': 'implosive'
|
530 |
+
},
|
531 |
+
'ɖ': {
|
532 |
+
'symbol_type' : 'phoneme',
|
533 |
+
'vowel_consonant' : 'consonant',
|
534 |
+
'VUV' : 'voiced',
|
535 |
+
'consonant_place' : 'retroflex',
|
536 |
+
'consonant_manner': 'plosive'
|
537 |
+
},
|
538 |
+
'χ': {
|
539 |
+
'symbol_type' : 'phoneme',
|
540 |
+
'vowel_consonant' : 'consonant',
|
541 |
+
'VUV' : 'unvoiced',
|
542 |
+
'consonant_place' : 'uvular',
|
543 |
+
'consonant_manner': 'fricative'
|
544 |
+
},
|
545 |
+
'ʛ': {
|
546 |
+
'symbol_type' : 'phoneme',
|
547 |
+
'vowel_consonant' : 'consonant',
|
548 |
+
'VUV' : 'voiced',
|
549 |
+
'consonant_place' : 'uvular',
|
550 |
+
'consonant_manner': 'implosive'
|
551 |
+
},
|
552 |
+
'ʟ': {
|
553 |
+
'symbol_type' : 'phoneme',
|
554 |
+
'vowel_consonant' : 'consonant',
|
555 |
+
'VUV' : 'voiced',
|
556 |
+
'consonant_place' : 'velar',
|
557 |
+
'consonant_manner': 'lateral-approximant'
|
558 |
+
},
|
559 |
+
'ɽ': {
|
560 |
+
'symbol_type' : 'phoneme',
|
561 |
+
'vowel_consonant' : 'consonant',
|
562 |
+
'VUV' : 'voiced',
|
563 |
+
'consonant_place' : 'retroflex',
|
564 |
+
'consonant_manner': 'flap'
|
565 |
+
},
|
566 |
+
'ɢ': {
|
567 |
+
'symbol_type' : 'phoneme',
|
568 |
+
'vowel_consonant' : 'consonant',
|
569 |
+
'VUV' : 'voiced',
|
570 |
+
'consonant_place' : 'uvular',
|
571 |
+
'consonant_manner': 'plosive'
|
572 |
+
},
|
573 |
+
'ɠ': {
|
574 |
+
'symbol_type' : 'phoneme',
|
575 |
+
'vowel_consonant' : 'consonant',
|
576 |
+
'VUV' : 'voiced',
|
577 |
+
'consonant_place' : 'velar',
|
578 |
+
'consonant_manner': 'implosive'
|
579 |
+
},
|
580 |
+
'ǂ': {
|
581 |
+
'symbol_type' : 'phoneme',
|
582 |
+
'vowel_consonant' : 'consonant',
|
583 |
+
'VUV' : 'unvoiced',
|
584 |
+
'consonant_place' : 'alveolopalatal',
|
585 |
+
'consonant_manner': 'click'
|
586 |
+
},
|
587 |
+
'ɦ': {
|
588 |
+
'symbol_type' : 'phoneme',
|
589 |
+
'vowel_consonant' : 'consonant',
|
590 |
+
'VUV' : 'voiced',
|
591 |
+
'consonant_place' : 'glottal',
|
592 |
+
'consonant_manner': 'fricative'
|
593 |
+
},
|
594 |
+
'ǁ': {
|
595 |
+
'symbol_type' : 'phoneme',
|
596 |
+
'vowel_consonant' : 'consonant',
|
597 |
+
'VUV' : 'unvoiced',
|
598 |
+
'consonant_place' : 'alveolar',
|
599 |
+
'consonant_manner': 'click'
|
600 |
+
},
|
601 |
+
'ĩ': { # identical description with i except nasal
|
602 |
+
'symbol_type' : 'phoneme',
|
603 |
+
'vowel_consonant' : 'vowel',
|
604 |
+
'VUV' : 'voiced',
|
605 |
+
'vowel_frontness' : 'front',
|
606 |
+
'vowel_openness' : 'close',
|
607 |
+
'vowel_roundedness': 'unrounded',
|
608 |
+
'consonant_manner' : 'nasal'
|
609 |
+
},
|
610 |
+
'ʍ': {
|
611 |
+
'symbol_type' : 'phoneme',
|
612 |
+
'vowel_consonant' : 'consonant',
|
613 |
+
'VUV' : 'unvoiced',
|
614 |
+
'consonant_place' : 'labial-velar',
|
615 |
+
'consonant_manner': 'fricative'
|
616 |
+
},
|
617 |
+
'ʕ': {
|
618 |
+
'symbol_type' : 'phoneme',
|
619 |
+
'vowel_consonant' : 'consonant',
|
620 |
+
'VUV' : 'voiced',
|
621 |
+
'consonant_place' : 'pharyngal',
|
622 |
+
'consonant_manner': 'fricative'
|
623 |
+
},
|
624 |
+
'ɻ': {
|
625 |
+
'symbol_type' : 'phoneme',
|
626 |
+
'vowel_consonant' : 'consonant',
|
627 |
+
'VUV' : 'unvoiced',
|
628 |
+
'consonant_place' : 'retroflex',
|
629 |
+
'consonant_manner': 'approximant'
|
630 |
+
},
|
631 |
+
'ʄ': {
|
632 |
+
'symbol_type' : 'phoneme',
|
633 |
+
'vowel_consonant' : 'consonant',
|
634 |
+
'VUV' : 'voiced',
|
635 |
+
'consonant_place' : 'palatal',
|
636 |
+
'consonant_manner': 'implosive'
|
637 |
+
},
|
638 |
+
'ũ': { # identical with u, but nasal
|
639 |
+
'symbol_type' : 'phoneme',
|
640 |
+
'vowel_consonant' : 'vowel',
|
641 |
+
'VUV' : 'voiced',
|
642 |
+
'vowel_frontness' : 'back',
|
643 |
+
'vowel_openness' : 'close',
|
644 |
+
'vowel_roundedness': 'rounded',
|
645 |
+
'consonant_manner' : 'nasal'
|
646 |
+
},
|
647 |
+
'ɤ': {
|
648 |
+
'symbol_type' : 'phoneme',
|
649 |
+
'vowel_consonant' : 'vowel',
|
650 |
+
'VUV' : 'voiced',
|
651 |
+
'vowel_frontness' : 'back',
|
652 |
+
'vowel_openness' : 'close-mid',
|
653 |
+
'vowel_roundedness': 'unrounded',
|
654 |
+
},
|
655 |
+
'ɶ': {
|
656 |
+
'symbol_type' : 'phoneme',
|
657 |
+
'vowel_consonant' : 'vowel',
|
658 |
+
'VUV' : 'voiced',
|
659 |
+
'vowel_frontness' : 'front',
|
660 |
+
'vowel_openness' : 'open',
|
661 |
+
'vowel_roundedness': 'rounded',
|
662 |
+
},
|
663 |
+
'õ': {
|
664 |
+
'symbol_type' : 'phoneme',
|
665 |
+
'vowel_consonant' : 'vowel',
|
666 |
+
'VUV' : 'voiced',
|
667 |
+
'vowel_frontness' : 'back',
|
668 |
+
'vowel_openness' : 'close-mid',
|
669 |
+
'vowel_roundedness': 'rounded',
|
670 |
+
'consonant_manner' : 'nasal'
|
671 |
+
},
|
672 |
+
'ʡ': {
|
673 |
+
'symbol_type' : 'phoneme',
|
674 |
+
'vowel_consonant' : 'consonant',
|
675 |
+
'VUV' : 'unvoiced',
|
676 |
+
'consonant_place' : 'epiglottal',
|
677 |
+
'consonant_manner': 'plosive'
|
678 |
+
},
|
679 |
+
'ʈ': {
|
680 |
+
'symbol_type' : 'phoneme',
|
681 |
+
'vowel_consonant' : 'consonant',
|
682 |
+
'VUV' : 'unvoiced',
|
683 |
+
'consonant_place' : 'retroflex',
|
684 |
+
'consonant_manner': 'plosive'
|
685 |
+
},
|
686 |
+
'ʜ': {
|
687 |
+
'symbol_type' : 'phoneme',
|
688 |
+
'vowel_consonant' : 'consonant',
|
689 |
+
'VUV' : 'unvoiced',
|
690 |
+
'consonant_place' : 'epiglottal',
|
691 |
+
'consonant_manner': 'fricative'
|
692 |
+
},
|
693 |
+
'ɱ': {
|
694 |
+
'symbol_type' : 'phoneme',
|
695 |
+
'vowel_consonant' : 'consonant',
|
696 |
+
'VUV' : 'voiced',
|
697 |
+
'consonant_place' : 'labiodental',
|
698 |
+
'consonant_manner': 'nasal'
|
699 |
+
},
|
700 |
+
'ɯ': {
|
701 |
+
'symbol_type' : 'phoneme',
|
702 |
+
'vowel_consonant' : 'vowel',
|
703 |
+
'VUV' : 'voiced',
|
704 |
+
'vowel_frontness' : 'back',
|
705 |
+
'vowel_openness' : 'close',
|
706 |
+
'vowel_roundedness': 'unrounded'
|
707 |
+
},
|
708 |
+
'ǀ': {
|
709 |
+
'symbol_type' : 'phoneme',
|
710 |
+
'vowel_consonant' : 'consonant',
|
711 |
+
'VUV' : 'unvoiced',
|
712 |
+
'consonant_place' : 'dental',
|
713 |
+
'consonant_manner': 'click'
|
714 |
+
},
|
715 |
+
'ɸ': {
|
716 |
+
'symbol_type' : 'phoneme',
|
717 |
+
'vowel_consonant' : 'consonant',
|
718 |
+
'VUV' : 'unvoiced',
|
719 |
+
'consonant_place' : 'bilabial',
|
720 |
+
'consonant_manner': 'fricative'
|
721 |
+
},
|
722 |
+
'ʘ': {
|
723 |
+
'symbol_type' : 'phoneme',
|
724 |
+
'vowel_consonant' : 'consonant',
|
725 |
+
'VUV' : 'unvoiced',
|
726 |
+
'consonant_place' : 'bilabial',
|
727 |
+
'consonant_manner': 'click'
|
728 |
+
},
|
729 |
+
'ʐ': {
|
730 |
+
'symbol_type' : 'phoneme',
|
731 |
+
'vowel_consonant' : 'consonant',
|
732 |
+
'VUV' : 'voiced',
|
733 |
+
'consonant_place' : 'retroflex',
|
734 |
+
'consonant_manner': 'fricative'
|
735 |
+
},
|
736 |
+
'ɰ': {
|
737 |
+
'symbol_type' : 'phoneme',
|
738 |
+
'vowel_consonant' : 'consonant',
|
739 |
+
'VUV' : 'voiced',
|
740 |
+
'consonant_place' : 'velar',
|
741 |
+
'consonant_manner': 'approximant'
|
742 |
+
},
|
743 |
+
'ɘ': {
|
744 |
+
'symbol_type' : 'phoneme',
|
745 |
+
'vowel_consonant' : 'vowel',
|
746 |
+
'VUV' : 'voiced',
|
747 |
+
'vowel_frontness' : 'central',
|
748 |
+
'vowel_openness' : 'close-mid',
|
749 |
+
'vowel_roundedness': 'unrounded'
|
750 |
+
},
|
751 |
+
'ħ': {
|
752 |
+
'symbol_type' : 'phoneme',
|
753 |
+
'vowel_consonant' : 'consonant',
|
754 |
+
'VUV' : 'unvoiced',
|
755 |
+
'consonant_place' : 'pharyngal',
|
756 |
+
'consonant_manner': 'fricative'
|
757 |
+
},
|
758 |
+
'ɞ': {
|
759 |
+
'symbol_type' : 'phoneme',
|
760 |
+
'vowel_consonant' : 'vowel',
|
761 |
+
'VUV' : 'voiced',
|
762 |
+
'vowel_frontness' : 'central',
|
763 |
+
'vowel_openness' : 'open-mid',
|
764 |
+
'vowel_roundedness': 'rounded'
|
765 |
+
},
|
766 |
+
'ʉ': {
|
767 |
+
'symbol_type' : 'phoneme',
|
768 |
+
'vowel_consonant' : 'vowel',
|
769 |
+
'VUV' : 'voiced',
|
770 |
+
'vowel_frontness' : 'central',
|
771 |
+
'vowel_openness' : 'close',
|
772 |
+
'vowel_roundedness': 'rounded'
|
773 |
+
},
|
774 |
+
'ɴ': {
|
775 |
+
'symbol_type' : 'phoneme',
|
776 |
+
'vowel_consonant' : 'consonant',
|
777 |
+
'VUV' : 'voiced',
|
778 |
+
'consonant_place' : 'uvular',
|
779 |
+
'consonant_manner': 'nasal'
|
780 |
+
},
|
781 |
+
'ʢ': {
|
782 |
+
'symbol_type' : 'phoneme',
|
783 |
+
'vowel_consonant' : 'consonant',
|
784 |
+
'VUV' : 'voiced',
|
785 |
+
'consonant_place' : 'epiglottal',
|
786 |
+
'consonant_manner': 'fricative'
|
787 |
+
},
|
788 |
+
'ѵ': {
|
789 |
+
'symbol_type' : 'phoneme',
|
790 |
+
'vowel_consonant' : 'consonant',
|
791 |
+
'VUV' : 'voiced',
|
792 |
+
'consonant_place' : 'labiodental',
|
793 |
+
'consonant_manner': 'flap'
|
794 |
+
},
|
795 |
+
'ǃ': { # looks deceivingly like an exclamation mark, but it's a different unicode entry
|
796 |
+
'symbol_type' : 'phoneme',
|
797 |
+
'vowel_consonant' : 'consonant',
|
798 |
+
'VUV' : 'unvoiced',
|
799 |
+
'consonant_place' : 'postalveolar',
|
800 |
+
'consonant_manner': 'click'
|
801 |
+
},
|
802 |
+
|
803 |
+
} # REMEMBER to also add the phonemes added here to the ID lookup below as the new highest ID
|
804 |
+
|
805 |
+
|
806 |
+
def get_phone_to_id():
|
807 |
+
"""
|
808 |
+
for the states of the ctc loss and dijkstra/mas in the aligner
|
809 |
+
cannot be extracted trivially from above because sets are unordered and the IDs need to be consistent
|
810 |
+
"""
|
811 |
+
phone_to_id = dict()
|
812 |
+
for index, phone in enumerate("~#?!ǃ.ɜəaðɛɪŋɔɒɾʃθʊʌʒæbʔdefghijklmnɳopɡɹrstuvwxzʀøçɐœyʏɑcɲɣʎβʝɟqɕɭɵʑʋʁɨʂɓʙɗɖχʛʟɽɢɠǂɦǁĩʍʕɻʄũɤɶõʡʈʜɱɯǀɸʘʐɰɘħɞʉɴʢѵ"):
|
813 |
+
phone_to_id[phone] = index
|
814 |
+
# the following lines fix an issue with the aligner: While the different punctuation marks have
|
815 |
+
# different effects on their context, their realization in the signal is typically just silence.
|
816 |
+
# Since this is common for all of them, the CTC objective malfunctions for our purposes of
|
817 |
+
# alignment search. So it turned out that it's better to map all punctuation marks to silence.
|
818 |
+
phone_to_id["#"] = phone_to_id["~"]
|
819 |
+
phone_to_id["?"] = phone_to_id["~"]
|
820 |
+
phone_to_id["!"] = phone_to_id["~"]
|
821 |
+
phone_to_id["."] = phone_to_id["~"]
|
822 |
+
return phone_to_id
|
823 |
+
|
824 |
+
|
825 |
+
def get_feature_to_index_lookup():
|
826 |
+
return {
|
827 |
+
# MODIFIER
|
828 |
+
# -- stress: modified by the previous symbol
|
829 |
+
"stressed" : 0,
|
830 |
+
# -- tone: modified by the following symbol
|
831 |
+
"very-high-tone" : 1,
|
832 |
+
"high-tone" : 2,
|
833 |
+
"mid-tone" : 3,
|
834 |
+
"low-tone" : 4,
|
835 |
+
"very-low-tone" : 5,
|
836 |
+
"rising-tone" : 6,
|
837 |
+
"falling-tone" : 7,
|
838 |
+
"peaking-tone" : 8,
|
839 |
+
"dipping-tone" : 9,
|
840 |
+
# -- lengthening: modified by the following symbol
|
841 |
+
"lengthened" : 10,
|
842 |
+
"half-length" : 11,
|
843 |
+
"shortened" : 12,
|
844 |
+
|
845 |
+
# CATEGORIES
|
846 |
+
"consonant" : 13,
|
847 |
+
"vowel" : 14,
|
848 |
+
"phoneme" : 15,
|
849 |
+
|
850 |
+
# NON-SPEECH-MARKERS
|
851 |
+
"silence" : 16,
|
852 |
+
"end of sentence" : 17,
|
853 |
+
"questionmark" : 18,
|
854 |
+
"exclamationmark" : 19,
|
855 |
+
"fullstop" : 20,
|
856 |
+
"word-boundary" : 21,
|
857 |
+
|
858 |
+
# PLACE
|
859 |
+
"dental" : 22,
|
860 |
+
"postalveolar" : 23,
|
861 |
+
"velar" : 24,
|
862 |
+
"palatal" : 25,
|
863 |
+
"glottal" : 26,
|
864 |
+
"uvular" : 27,
|
865 |
+
"labiodental" : 28,
|
866 |
+
"labial-velar" : 29,
|
867 |
+
"alveolar" : 30,
|
868 |
+
"bilabial" : 31,
|
869 |
+
"alveolopalatal" : 32,
|
870 |
+
"retroflex" : 33,
|
871 |
+
"pharyngal" : 34,
|
872 |
+
"epiglottal" : 35,
|
873 |
+
|
874 |
+
# TONGUE POSITION
|
875 |
+
"central" : 36,
|
876 |
+
"back" : 37,
|
877 |
+
"front_central" : 38,
|
878 |
+
"front" : 39,
|
879 |
+
"central_back" : 40,
|
880 |
+
|
881 |
+
# MOUTH OPENNESS
|
882 |
+
"mid" : 41,
|
883 |
+
"close-mid" : 42,
|
884 |
+
"close" : 43,
|
885 |
+
"open-mid" : 44,
|
886 |
+
"close_close-mid" : 45,
|
887 |
+
"open-mid_open" : 46,
|
888 |
+
"open" : 47,
|
889 |
+
|
890 |
+
# MOUTH SHAPE
|
891 |
+
"rounded" : 48,
|
892 |
+
"unrounded" : 49,
|
893 |
+
|
894 |
+
# MANNER
|
895 |
+
"plosive" : 50,
|
896 |
+
"nasal" : 51,
|
897 |
+
"approximant" : 52,
|
898 |
+
"trill" : 53,
|
899 |
+
"flap" : 54,
|
900 |
+
"fricative" : 55,
|
901 |
+
"lateral-approximant": 56,
|
902 |
+
"implosive" : 57,
|
903 |
+
"vibrant" : 58,
|
904 |
+
"click" : 59,
|
905 |
+
"ejective" : 60,
|
906 |
+
|
907 |
+
# TYPE
|
908 |
+
"aspirated" : 61,
|
909 |
+
"unvoiced" : 62,
|
910 |
+
"voiced" : 63,
|
911 |
+
}
|
912 |
+
|
913 |
+
|
914 |
+
def generate_feature_table():
|
915 |
+
ipa_to_phonemefeats = generate_feature_lookup()
|
916 |
+
|
917 |
+
feat_types = set()
|
918 |
+
for ipa in ipa_to_phonemefeats:
|
919 |
+
if len(ipa) == 1:
|
920 |
+
[feat_types.add(feat) for feat in ipa_to_phonemefeats[ipa].keys()]
|
921 |
+
|
922 |
+
feat_to_val_set = dict()
|
923 |
+
for feat in feat_types:
|
924 |
+
feat_to_val_set[feat] = set()
|
925 |
+
for ipa in ipa_to_phonemefeats:
|
926 |
+
if len(ipa) == 1:
|
927 |
+
for feat in ipa_to_phonemefeats[ipa]:
|
928 |
+
feat_to_val_set[feat].add(ipa_to_phonemefeats[ipa][feat])
|
929 |
+
|
930 |
+
# print(feat_to_val_set)
|
931 |
+
|
932 |
+
value_list = set()
|
933 |
+
for val_set in [feat_to_val_set[feat] for feat in feat_to_val_set]:
|
934 |
+
for value in val_set:
|
935 |
+
value_list.add(value)
|
936 |
+
# print("{")
|
937 |
+
# for index, value in enumerate(list(value_list)):
|
938 |
+
# print('"{}":{},'.format(value,index))
|
939 |
+
# print("}")
|
940 |
+
|
941 |
+
value_to_index = get_feature_to_index_lookup()
|
942 |
+
|
943 |
+
phone_to_vector = dict()
|
944 |
+
for ipa in ipa_to_phonemefeats:
|
945 |
+
if len(ipa) == 1:
|
946 |
+
phone_to_vector[ipa] = [0] * (15 + sum([len(values) for values in [feat_to_val_set[feat] for feat in feat_to_val_set]]))
|
947 |
+
# 15 features come from modifiers, not from lexical sounds, so we have to add them to the ones we encounter naturally in the lexical sounds
|
948 |
+
for feat in ipa_to_phonemefeats[ipa]:
|
949 |
+
if ipa_to_phonemefeats[ipa][feat] in value_to_index:
|
950 |
+
phone_to_vector[ipa][value_to_index[ipa_to_phonemefeats[ipa][feat]]] = 1
|
951 |
+
if phone_to_vector[ipa][value_to_index["phoneme"]] != 1:
|
952 |
+
# it's not a phoneme, so we give it the silence marker, regardless of what it is.
|
953 |
+
phone_to_vector[ipa][value_to_index["silence"]] = 1
|
954 |
+
|
955 |
+
for feat in feat_to_val_set:
|
956 |
+
for value in feat_to_val_set[feat]:
|
957 |
+
if value not in value_to_index:
|
958 |
+
print(f"Unknown feature value in featureset! {value}")
|
959 |
+
|
960 |
+
# print(f"{sum([len(values) for values in [feat_to_val_set[feat] for feat in feat_to_val_set]])} should be 49")
|
961 |
+
|
962 |
+
return phone_to_vector
|
963 |
+
|
964 |
+
|
965 |
+
if __name__ == '__main__':
|
966 |
+
print(generate_feature_table())
|
iso_lookup.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
iso_to_fullname.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
requirements.txt
ADDED
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torch~=2.1.0
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epitran==1.24
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numpy~=1.23.4
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pypinyin~=0.47.1
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matplotlib~=3.7.0
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phonemizer~=3.2.1
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dragonmapper~=0.2.6
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transphone==1.5.3
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pykakasi~=2.2.1
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jamo~=0.4.1
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g2pk~=0.9.4
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gradio~=4.26.0
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run_feature_visualization.py
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import matplotlib.pyplot as plt
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import numpy as np
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import torch
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from ArticulatoryTextFrontend import ArticulatoryTextFrontend
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def visualize_one_hot_encoded_sequence(tensor, sentence, col_labels, cmap='BuGn'):
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"""
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Visualize a 2D one-hot encoded tensor as a heatmap.
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"""
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tensor = torch.clamp(tensor, min=0, max=1).transpose(0, 1).cpu().numpy()
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if tensor.ndim != 2:
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raise ValueError("Input tensor must be a 2D array")
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# Check the size of labels matches the tensor dimensions
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row_labels = ["stressed", "very-high-tone", "high-tone", "mid-tone", "low-tone", "very-low-tone", "rising-tone", "falling-tone", "peaking-tone", "dipping-tone", "lengthened", "half-length", "shortened", "consonant", "vowel", "phoneme", "silence", "end of sentence", "questionmark", "exclamationmark", "fullstop", "word-boundary", "dental", "postalveolar",
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"velar", "palatal", "glottal", "uvular", "labiodental", "labial-velar", "alveolar", "bilabial", "alveolopalatal", "retroflex", "pharyngal", "epiglottal", "central", "back", "front_central", "front", "central_back", "mid", "close-mid", "close", "open-mid", "close_close-mid", "open-mid_open", "open", "rounded", "unrounded", "plosive",
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"nasal", "approximant", "trill", "flap", "fricative", "lateral-approximant", "implosive", "vibrant", "click", "ejective", "aspirated", "unvoiced", "voiced"]
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if row_labels and len(row_labels) != tensor.shape[0]:
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raise ValueError("Number of row labels must match the number of rows in the tensor")
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if col_labels and len(col_labels) != tensor.shape[1]:
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raise ValueError("Number of column labels must match the number of columns in the tensor")
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plt.figure(figsize=(10, 8))
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# Create the heatmap
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plt.imshow(tensor, cmap=cmap, aspect='auto')
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# Add labels
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if row_labels:
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plt.yticks(np.arange(tensor.shape[0]), row_labels)
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if col_labels:
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plt.xticks(np.arange(tensor.shape[1]), col_labels, rotation=0)
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plt.grid(False)
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plt.xlabel('Phones')
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plt.ylabel('Features')
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# Display the heatmap
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plt.title(f"»{sentence}«")
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plt.tight_layout()
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plt.show()
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if __name__ == '__main__':
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sentence = "Rằng: Trong Thánh trạch dồi dào."
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language = "vie"
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tf = ArticulatoryTextFrontend(language=language)
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features = tf.string_to_tensor(sentence)
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phones = tf.get_phone_string(sentence)
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visualize_one_hot_encoded_sequence(tensor=features, sentence=sentence, col_labels=phones)
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run_grapheme_to_feature_demo.py
ADDED
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from ArticulatoryTextFrontend import ArticulatoryTextFrontend, get_language_id
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if __name__ == '__main__':
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# demonstrating the language ID lookup
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print(get_language_id("eng"))
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print(get_language_id("deu"))
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print(get_language_id("fra"))
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# demonstrating the conversion from graphemes to features
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print("\n\nEnglish Test")
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tf = ArticulatoryTextFrontend(language="eng")
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features = tf.string_to_tensor("This is a complex sentence, it even has a pause!", view=True)
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print("\n\nChinese Test")
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tf = ArticulatoryTextFrontend(language="cmn")
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features = tf.string_to_tensor("这是一个复杂的句子,它甚至包含一个停顿。", view=True)
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features = tf.string_to_tensor("李绅 《悯农》 锄禾日当午, 汗滴禾下土。 谁知盘中餐, 粒粒皆辛苦。", view=True)
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features = tf.string_to_tensor("巴 拔 把 爸 吧", view=True)
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print("\n\nVietnamese Test")
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tf = ArticulatoryTextFrontend(language="vie")
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features = tf.string_to_tensor("Xin chào thế giới, quả là một ngày tốt lành để học nói tiếng Việt!", view=True)
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features = tf.string_to_tensor("ba bà bá bạ bả bã", view=True)
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print("\n\nJapanese Test")
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tf = ArticulatoryTextFrontend(language="jpn")
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features = tf.string_to_tensor("医師会がなくても、近隣の病院なら紹介してくれると思います。", view=True)
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print("\n\nZero-Shot Test")
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tf = ArticulatoryTextFrontend(language="acr")
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features = tf.string_to_tensor("I don't know this language, but this is just a placeholder text anyway.", view=True)
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