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Description of the original author
KSS Dataset: Korean Single speaker Speech Dataset
KSS Dataset is designed for the Korean text-to-speech task. It consists of audio files recorded by a professional female voice actoress and their aligned text extracted from my books. As a copyright holder, by courtesy of the publishers, I release this dataset to the public. To my best knowledge, this is the first publicly available speech dataset for Korean.
File Format
Each line in transcript.v.1.3.txt
is delimited by |
into six fields.
- A. Audio file path
- B. Original script
- C. Expanded script
- D. Decomposed script
- E. Audio duration (seconds)
- F. English translation
e.g.,
1/1_0470.wav|저는 보통 20분 정도 낮잠을 잡니다.|저는 보통 이십 분 정도 낮잠을 잡니다.|저는 보통 이십 분 정도 낮잠을 잡니다.|4.1|I usually take a nap for 20 minutes.
Specification
- Audio File Type: wav
- Total Running Time: 12+ hours
- Sample Rate: 44,100 KHZ
- Number of Audio Files: 12,853
- Sources
- |1| Kyubyong Park, 500 Basic Korean Verbs, Tuttle Publishing, 2015.|
- |2| Kyubyong Park, 500 Basic Korean Adjectives 2nd Ed., Youkrak, 2015.|
- |3| Kyubyong Park, Essential Korean Vocabulary, Tuttle Publishing, 2015.|
- |4| Kyubyong Park, Tuttle Learner's Korean-English Dictionary, Tuttle Publishing, 2012.|
License
NC-SA 4.0. You CANNOT use this dataset for ANY COMMERCIAL purpose. Otherwise, you can freely use this.
Citation
If you want to cite KSS Dataset, please refer to this:
Kyubyong Park, KSS Dataset: Korean Single speaker Speech Dataset, https://kaggle.com/bryanpark/korean-single-speaker-speech-dataset, 2018
Reference
Check out this for a project using this KSS Dataset.
Contact
You can contact me at kbpark.linguist@gmail.com.
April, 2018.
Kyubyong Park
Dataset Summary
12,853 Korean audio files with transcription.
Supported Tasks and Leaderboards
text-to-speech
Languages
korean
Dataset Structure
Data Instances
>>> from datasets import load_dataset
>>> dataset = load_dataset("Bingsu/KSS_Dataset")
>>> dataset["train"].features
{'audio': Audio(sampling_rate=44100, mono=True, decode=True, id=None),
'original_script': Value(dtype='string', id=None),
'expanded_script': Value(dtype='string', id=None),
'decomposed_script': Value(dtype='string', id=None),
'duration': Value(dtype='float32', id=None),
'english_translation': Value(dtype='string', id=None)}
>>> dataset["train"][0]
{'audio': {'path': None,
'array': array([ 0.00000000e+00, 3.05175781e-05, -4.57763672e-05, ...,
0.00000000e+00, -3.05175781e-05, -3.05175781e-05]),
'sampling_rate': 44100},
'original_script': '그는 괜찮은 척하려고 애쓰는 것 같았다.',
'expanded_script': '그는 괜찮은 척하려고 애쓰는 것 같았다.',
'decomposed_script': '그는 괜찮은 척하려고 애쓰는 것 같았다.',
'duration': 3.5,
'english_translation': 'He seemed to be pretending to be okay.'}
Data Splits
train | |
---|---|
# of examples | 12853 |
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