jubang0219 commited on
Commit
3a7bb5f
1 Parent(s): 65b3a61

Update README.md

Browse files

Update dataset card

Files changed (1) hide show
  1. README.md +58 -2
README.md CHANGED
@@ -32,5 +32,61 @@ configs:
32
  path: data/eval_other-*
33
  language:
34
  - ko
35
- pretty_name: etri
36
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
32
  path: data/eval_other-*
33
  language:
34
  - ko
35
+ pretty_name: KsponSpeech
36
+ ---
37
+
38
+ # Dataset Card for KsponSpeech
39
+
40
+ ## Dataset Description
41
+ - **Homepage:** [AIHub KsponSpeech corpus](https://aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&aihubDataSe=realm&dataSetSn=123)
42
+ - **Paper:** [KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition](https://www.mdpi.com/2076-3417/10/19/6936)
43
+ - **Point of Contact:** [Seung Yun](mailto:syun@etri.re.kr)
44
+
45
+ ### Dataset Summary
46
+ The KsponSpeech is a large-scale spontaneous speech corpus in Korean. This corpus contains 969 hours of general open-domain dialog utterances, spoken by approximately 2,000 native Korean speakers in a clean environment. The data was collected by recording dialogues between two people conversing freely on various topics, and then manually transcribing the utterances.
47
+ Please note that we are only sharing the evaluation set of KsponSpeech, not the entire dataset. The evaluation set consists of two parts: eval_clean and eval_other. Eval_clean comprises 2.6 hours of audio, 3,000 files, and includes 60 speakers (30 male, 30 female). Eval_other comprises 3.8 hours of audio, 3,000 files, and also includes 60 speakers (30 male, 30 female).
48
+ (Note: The training data is provided only to domestic users in Korea.)
49
+
50
+ ## Dataset Structure
51
+ ### Data Fields
52
+
53
+ ```
54
+ {
55
+ DatasetDict(
56
+ eval_clean: Dataset({
57
+ features: ['audio', 'transcription', 'raw_transcription', 'orthographic_transcription', 'phonetic_transcription'],
58
+ num_rows: 3000
59
+ })
60
+ eval_other: Dataset({
61
+ features: ['audio', 'transcription', 'raw_transcription', 'orthographic_transcription', 'phonetic_transcription'],
62
+ num_rows: 3000
63
+ })
64
+ )
65
+ }
66
+ ```
67
+
68
+ - audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate.
69
+
70
+ - transcription: The transcription of the audio file, equivalent to the orthographic transcription.
71
+
72
+ - raw_transcription: The original transcript provided by KsponSpeech, including double transcription, disfluent tags, and other annotations.
73
+
74
+ - orthographic_transcription: Transcription written according to Korean standard orthographic rules.
75
+
76
+ - phonetic_transcription: Transcription written to reflect the original sound as closely as possible.
77
+
78
+ ### Citation Information
79
+
80
+ ```
81
+ @article{bang2020ksponspeech,
82
+ title={Ksponspeech: Korean spontaneous speech corpus for automatic speech recognition},
83
+ author={Bang, Jeong-Uk and Yun, Seung and Kim, Seung-Hi and Choi, Mu-Yeol and Lee, Min-Kyu and Kim, Yeo-Jeong and Kim, Dong-Hyun and Park, Jun and Lee, Young-Jik and Kim, Sang-Hun},
84
+ journal={Applied Sciences},
85
+ volume={10},
86
+ number={19},
87
+ pages={6936},
88
+ year={2020},
89
+ publisher={MDPI}
90
+ }
91
+ ```
92
+