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MoeSpeech 20 Speakers - LJSpeech Format
moe-speech-plus-ljspeechから発話数上位20話者を抽出したデータセットです。 Piper TTSなどのTTSモデル学習に最適化されています。
Dataset Summary
| 項目 | 値 |
|---|---|
| 話者数 | 20 |
| 総発話数 | 60,233 |
| フォーマット | LJSpeech |
| サンプルレート | 22050 Hz |
| 言語 | 日本語 |
Speaker Statistics
| Speaker ID | Utterances | Internal ID |
|---|---|---|
| 940de876 | 4,675 | 0 |
| 2cf01874 | 4,632 | 1 |
| bbd90363 | 3,747 | 2 |
| 1a5a3db8 | 3,295 | 3 |
| 4e2f4ba6 | 3,268 | 4 |
| cc948b89 | 3,043 | 5 |
| ad28b91b | 3,033 | 6 |
| ee093a4f | 2,957 | 7 |
| bce2a5af | 2,926 | 8 |
| 18460462 | 2,861 | 9 |
| 917feebd | 2,811 | 10 |
| b8b5fe66 | 2,769 | 11 |
| 00163dc9 | 2,757 | 12 |
| 773a4156 | 2,749 | 13 |
| 46d6bf83 | 2,654 | 14 |
| 36ea135b | 2,631 | 15 |
| bc778ddb | 2,435 | 16 |
| 6d565f54 | 2,351 | 17 |
| 9febd2ae | 2,327 | 18 |
| 8b6e7173 | 2,312 | 19 |
Dataset Structure
moe-speech-20speakers-ljspeech/
├── metadata.csv # LJSpeech format: filename|speaker_id|text
├── wavs/ # Audio files (22050Hz mono WAV)
│ ├── {speaker_id}_{utterance_id}.wav
│ └── ...
└── wavs.zip # Compressed audio files (21GB)
metadata.csv Format
{speaker_id}_{utterance_id}|{speaker_id}|{transcription_text}
Example:
940de876_0000|940de876|こんにちは、今日は良い天気ですね。
Download
Using huggingface-cli
# Install huggingface-cli
pip install -U "huggingface_hub[cli]"
# Login
huggingface-cli login
# Download entire dataset
huggingface-cli download --repo-type dataset ayousanz/moe-speech-20speakers-ljspeech --local-dir moe-speech-20speakers-ljspeech
Extracting wavs.zip
cd moe-speech-20speakers-ljspeech
unzip wavs.zip
Usage with Piper TTS
Preprocessing
uv run python -m piper_train.preprocess \
--language ja \
--input-dir /path/to/moe-speech-20speakers-ljspeech \
--output-dir /path/to/dataset-moe-speech-20speakers \
--dataset-format ljspeech \
--sample-rate 22050
Training (Multi-GPU)
NCCL_DEBUG=INFO \
NCCL_P2P_DISABLE=1 \
NCCL_IB_DISABLE=1 \
uv run python -m piper_train \
--dataset-dir /path/to/dataset-moe-speech-20speakers \
--accelerator gpu \
--devices 4 \
--precision 16-mixed \
--max_epochs 100 \
--batch-size 5 \
--checkpoint-epochs 1 \
--quality medium \
--base_lr 2e-4 \
--ema-decay 0.9995 \
--num-workers 0 \
--no-pin-memory \
--default_root_dir /path/to/output
Related Resources
- Original Dataset: moe-speech-plus-ljspeech
- 5 Speakers Dataset: moe-speech-5speakers-ljspeech
- 5 Speakers Trained Model: piper-plus-moe-speech-top-5speakers
- Piper TTS: https://github.com/rhasspy/piper
License
This dataset inherits the license from the original moe-speech dataset.
Important: This dataset is only permitted for use under Article 30-4 of the Copyright Law of Japan for data analysis (such as machine learning) purposes. Any use for purposes other than those specified is prohibited by the license.
このデータセットは、著作権法第三十条の四の情報解析(機械学習等)の目的でのみ使用が許可されています。
Citation
If you use this dataset, please cite the original MoeSpeech dataset:
@misc{moespeech,
author = {litagin},
title = {MoeSpeech: Japanese Character Voice Dataset},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/litagin/moe-speech}
}
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