Dataset
This dataset contains a diverse set of natural Japanese speech, collected from terrestrial television streams. It contains more than 35000 hours of audio.
Paper: ReazonSpeech: A Free and Massive Corpus for Japanese ASR
TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4.
Audio files are available in FLAC format, sampled at 16000 hz. Each audio file is accompanied with a transcription.
{
'name': '000/0000000000000.flac',
'audio': {
'path': '/path/to/000/0000000000000.flac',
'array': array([ 0.01000000, ...], dtype=float32),
'sampling_rate': 16000
},
'transcription': '今日のニュースをお伝えします。'
}
We provide 5 different dataset sizes. Here is the list of available sizes and their approximate recording hours.
| Name | Size | Hours |
|---|---|---|
tiny | 600MB | 8.5 hours |
small | 6GB | 100 hours |
medium | 65GB | 1000 hours |
large | 330GB | 5000 hours |
all | 2.3TB | 35000 hours |
You can access this dataset through Hugging Face datasets library.
from datasets import load_dataset
ds = load_dataset("reazon-research/reazonspeech", "all", trust_remote_code=True)
If you want to access the older versions of ReazonSpeech corpus, you can use the following tags.
| Name | Size | Hours |
|---|---|---|
small-v1 | 350MB | 5 hours |
medium-v1 | 22GB | 300 hours |
all-v1 | 1TB | 19000 hours |
TO USE THIS DATASET, YOU MUST AGREE THAT YOU WILL USE THE DATASET SOLELY FOR THE PURPOSE OF JAPANESE COPYRIGHT ACT ARTICLE 30-4.