README.md

---
license: cc-by-sa-4.0
language:
- de
- el
- en
- es
- fi
- fr
- hu
- ja
- nl
- ru
- zh
size_categories:
- 10K<n<100K
task_categories:
- text-to-speech
pretty_name: CSS10 + LJSpeech Multilingual Dataset
tags:
- tts
- speech
- multilingual
- css10
- ljspeech
---

# CSS10 + LJSpeech Multilingual Dataset

A unified multilingual speech dataset combining CSS10 (10 languages) and LJSpeech (English) in a consistent LJSpeech format.

## Dataset Description

This dataset merges:
- **CSS10**: A collection of single-speaker speech datasets for 10 languages
- **LJSpeech**: High-quality English speech dataset (Linda Johnson)

All audio files are provided in a consistent format suitable for TTS training.

## Languages and Statistics

| Language | Code | Files | Hours | Speaker ID |
|----------|------|-------|-------|------------|
| English | en | 13,100 | ~24.0 | LJSpeech |
| Spanish | es | 11,016 | ~19.2 | CSS10_es |
| Russian | ru | 9,599 | ~16.9 | CSS10_ru |
| French | fr | 8,649 | ~15.2 | CSS10_fr |
| German | de | 7,427 | ~13.1 | CSS10_de |
| Japanese | ja | 6,839 | ~14.9 | CSS10_ja |
| Dutch | nl | 6,145 | ~10.8 | CSS10_nl |
| Finnish | fi | 4,755 | ~8.4 | CSS10_fi |
| Hungarian | hu | 4,514 | ~7.9 | CSS10_hu |
| Chinese | zh | 2,971 | ~6.5 | CSS10_zh |
| Greek | el | 1,844 | ~3.2 | CSS10_el |

**Total**: 76,859 utterances, ~140 hours, 11 speakers

## File Structure

```
├── README.md                    # This file
├── metadata.csv                 # Standard LJSpeech format (id|text)
├── metadata_multispeaker.csv    # With speaker info (speaker|id|text)
├── dataset_stats.json          # Dataset statistics
├── speaker_info.json           # Speaker mapping and descriptions
├── audio_durations.csv         # Audio duration information
└── wavs.zip                    # All audio files (77,296 files)
```

## Metadata Formats

### 1. Standard LJSpeech Format (`metadata.csv`)
```
id|text
de|Hanake hatte allen Körperschmuck...
en_LJ001-0001|Printing, in the only sense...
```

### 2. Multi-speaker Format (`metadata_multispeaker.csv`)
```
speaker|id|text
CSS10_de|de|Hanake hatte allen Körperschmuck...
LJSpeech|en_LJ001-0001|Printing, in the only sense...
```


## Usage

### Loading the Dataset

```python
import pandas as pd
import zipfile
from pathlib import Path

# Extract audio files
with zipfile.ZipFile("wavs.zip", "r") as zip_ref:
    zip_ref.extractall(".")

# Load metadata
metadata = pd.read_csv("metadata.csv", sep="|", names=["id", "text"])

# Load multi-speaker metadata
metadata_ms = pd.read_csv("metadata_multispeaker.csv", 
                         sep="|", names=["speaker", "id", "text"])
```

### For TTS Training (Piper)

```bash
# Single speaker training (filter by language)
python -m piper_train.preprocess \
    --input-dir . \
    --output-dir output \
    --dataset-format ljspeech \
    --sample-rate 22050

# Multi-speaker training
python -m piper_train.preprocess \
    --input-dir . \
    --output-dir output \
    --dataset-format multispeaker \
    --metadata-file metadata_multispeaker.csv \
    --sample-rate 22050
```

## File Naming Convention

- CSS10 files: `{language_code}_{original_id}.wav` (e.g., `ja_BASIC5000_0001.wav`)
- LJSpeech files: `en_{original_id}.wav` (e.g., `en_LJ001-0001.wav`)

## License

This dataset combines:
- CSS10: CC BY-SA 4.0
- LJSpeech: Public Domain

Please refer to the original datasets for detailed license information.

## Citation

If you use this dataset, please cite both original sources:

```bibtex
@misc{css10,
  author = {Kyubyong Park and Thomas Mulc},
  title = {CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages},
  year = {2019},
  publisher = {Interspeech},
}

@misc{ljspeech17,
  author = {Keith Ito and Linda Johnson},
  title = {The LJ Speech Dataset},
  howpublished = {\url{https://keithito.com/LJ-Speech-Dataset/}},
  year = {2017}
}
```

## Acknowledgments

- CSS10 dataset creators and contributors
- Keith Ito for the LJSpeech dataset
- The [css10-ljspeech](https://huggingface.co/datasets/ayousanz/css10-ljspeech) dataset for providing CSS10 in LJSpeech format