Datasets:

ayousanz
/

moe-speech-20speakers-ljspeech

language:
  - ja
license: other
license_link: https://huggingface.co/spaces/litagin/moe-speech-license
task_categories:
  - text-to-speech
size_categories:
  - 10K<n<100K
tags:
  - speech
  - audio
  - japanese
  - tts
  - piper
  - multi-speaker
  - vits
pretty_name: MoeSpeech 20 Speakers (LJSpeech Format)
extra_gated_prompt: >
  You agree to the terms of the
  [LICENSE](https://huggingface.co/spaces/litagin/moe-speech-license) when using
  this dataset. Please read it carefully.


  このデータセットを使用する際には、[LICENSE](https://huggingface.co/spaces/litagin/moe-speech-license)の条件に同意したことになります。必ずお読みください。
extra_gated_fields:
  Please provide a detailed description of the specific tasks or applications for which you intend to use this dataset, DO NOT use general statements such as 'for research', 'learning' or 'personal use" (このデータセットを使用する具体的なタスクや用途を、曖昧な表現ではなく（NG例:「研究」「機械学習」「私的利用」）、詳細に記述してください): text
  I have read and agree to the terms of the LICENSE (利用規約を読んで同意しました): checkbox

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}
}