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base_config:
- egs/egs_bases/tts/fs2.yaml
- egs/datasets/audio/emotion/base_text2mel.yaml
task_cls: modules.GenerSpeech.task.generspeech.GenerSpeechTask
# emotion encoder
emotion_encoder_path: checkpoints/Emotion_encoder.pt # set the emotion encoder path
# vocoder
vocoder: hifigan
vocoder_ckpt: checkpoints/trainset_hifigan
# dataset
raw_data_dir: 'data/raw/training_set'
processed_data_dir: 'data/processed/training_set'
binary_data_dir: 'data/binary/training_set'
test_input_dir: ''
# process
binarizer_cls: data_gen.tts.base_binarizer_emotion.EmotionBinarizer
audio_sample_rate: 16000
hop_size: 256 # For 22050Hz, 275 ~= 12.5 ms (0.0125 * sample_rate)
win_size: 1024 # For 22050Hz, 1100 ~= 50 ms (If None, win_size: fft_size) (0.05 * sample_rate)
fmin: 80 # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To test depending on dataset. Pitch info: male~[65, 260], female~[100, 525])
fmax: 7600 # To be increased/reduced depending on data.
fft_size: 1024 # Extra window size is filled with 0 paddings to match this parameter
min_level_db: -100
ref_level_db: 20
binarization_args:
reset_phone_dict: true
reset_word_dict: true
shuffle: true
trim_eos_bos: false
trim_sil: false
with_align: true
with_f0: true
with_f0cwt: false
with_linear: false
with_spk_embed: true
with_spk_id: true
with_txt: true
with_wav: true
with_word: true
preprocess_cls: egs.datasets.audio.libritts.pre_align.LibrittsPreAlign
preprocess_args:
nsample_per_mfa_group: 1000
# text process
txt_processor: en
use_mfa: true
with_phsep: true
reset_phone_dict: true
reset_word_dict: true
add_eos_bos: true
# mfa
mfa_group_shuffle: false
mfa_offset: 0.02
# wav processors
wav_processors: []
save_sil_mask: true
vad_max_silence_length: 12
# data
word_dict_size: 10000
num_spk: 500
use_spk_embed: true
use_spk_id: false
use_word: true
use_emotion: true
use_gt_dur: false
ref_audio: ''
text: ''
# training
num_sanity_val_steps: -1
max_updates: 300000
max_sentences: 100000
num_test_samples: 72
## glow
post_glow_hidden: 128
post_glow_kernel_size: 3
post_glow_n_blocks: 8
post_glow_n_block_layers: 3
share_wn_layers: 4
sigmoid_scale: false
post_share_cond_layers: false
use_txt_cond: true
use_latent_cond: true
noise_scale: 0.8
# prosody extractor
lambda_commit: 0.25
vq_start: 20500
vae_dropout: 0.0
nVQ: 128
forcing: 20000
crop: false
predictor_grad: 1.0 |