jubang0219
commited on
Commit
•
3a7bb5f
1
Parent(s):
65b3a61
Update README.md
Browse filesUpdate dataset card
README.md
CHANGED
@@ -32,5 +32,61 @@ configs:
|
|
32 |
path: data/eval_other-*
|
33 |
language:
|
34 |
- ko
|
35 |
-
pretty_name:
|
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 |
+
|