YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
moe-speech-5speakers-ljspeech
Japanese multi-speaker TTS dataset in LJSpeech format.
Overview
- Speakers: 5
- Total utterances: 19,617
- Format: LJSpeech (wavs/ + metadata.csv)
- Sample rate: 22050 Hz
- Language: Japanese
Speaker Statistics
| Speaker ID | Utterances |
|---|---|
| 940de876 | 4,675 |
| 2cf01874 | 4,632 |
| bbd90363 | 3,747 |
| 1a5a3db8 | 3,295 |
| 4e2f4ba6 | 3,268 |
Files
metadata.csv- Full metadata (id|speaker|text)metadata_{speaker_id}.csv- Per-speaker metadatawavs_{speaker_id}.tar.gz- Per-speaker audio files
Metadata Format
{file_id}|{speaker_id}|{text}
Example:
940de876_0001|940de876|こんにちは、今日は良い天気ですね。
Usage
Download specific speaker
from huggingface_hub import hf_hub_download
# Download single speaker
hf_hub_download(
repo_id="midralab/moe-speech-5speakers-ljspeech",
filename="wavs_940de876.tar.gz",
repo_type="dataset"
)
Extract files
tar -xzf wavs_940de876.tar.gz -C wavs/
Reconstruct LJSpeech structure
# Create wavs directory
mkdir -p wavs
# Extract all speakers
for f in wavs_*.tar.gz; do
tar -xzf "$f" -C wavs/
done
Source
This dataset is a subset of moe-speech-plus, containing the top 5 speakers by utterance count.
License
See original moe-speech dataset license.
- Downloads last month
- 8