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# ExpressiveSpeech Dataset

[**中文版说明 (Chinese Version)**](./README_zh.md)

## About The Dataset

**ExpressiveSpeech** is a **high-quality**, **expressive**, and **bilingual** (Chinese-English) speech dataset created to address the common lack of consistent vocal expressiveness in existing dialogue datasets.

This dataset is meticulously curated from five renowned open-source emotional dialogue datasets: Expresso, NCSSD, M3ED, MultiDialog, and IEMOCAP. Through a rigorous processing and selection pipeline, ExpressiveSpeech ensures that every utterance meets high standards for both acoustic quality and expressive richness. It is designed for tasks in expressive Speech-to-Speech (S2S), Text-to-Speech (TTS), voice conversion, speech emotion recognition, and other fields requiring high-fidelity, emotionally resonant audio.

## Key Features

- **High Expressiveness**: Achieves a significantly high average expressiveness score of **80.2** by **DeEAR**, far surpassing the original source datasets.
- **Bilingual Content**: Contains a balanced mix of Chinese and English speech, with a language ratio close to **1:1**.
- **Substantial Scale**: Comprises approximately **14,000 utterances**, totaling **51 hours** of audio.
- **Rich Metadata**: Includes ASR-generated text transcriptions, expressiveness scores, and source information for each utterance.

## Dataset Statistics

| Metric | Value |
| :--- | :--- |
| Total Utterances | ~14,000 |
| Total Duration | ~51 hours |
| Languages | Chinese, English |
| Language Ratio (CN:EN) | Approx. 1:1 |
| Sampling Rate | 16kHz, Mono |
| Avg. Expressiveness Score (DeEAR) | 80.2 |




## Data Format

The dataset is organized as follows:

```
ExpressiveSpeech.tar.gz/
├── audio/
│   ├── M3ED
│   │    ├── audio_00001.wav
│   │    └── ...
│   ├── NCSSD
│   ├── IEMOCAP
│   ├── MultiDialog
│   └── Expresso
└── metadata.jsonl
```

- **`ExpressiveSpeech.tar.gz`**: This package contains all the audio files in `.wav` format (16kHz, 16-bit, mono).
- **`metadata.jsonl`**: A jsonl file containing detailed information for each utterance. The metadata includes:
  - `audio_path`: The relative path to the audio file.
  - `value`: The ASR-generated text transcription.
  - `emotion`: Emotion labels from the original datasets.
  - `expressiveness_scores`: The expressiveness score from the **DeEAR** model.


## License

In line with the non-commercial restrictions of its source datasets, the ExpressiveSpeech dataset is released under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license**.

You can view the full license [here](https://creativecommons.org/licenses/by-nc-sa/4.0/).

## Citation

If you use this dataset in your research, please cite our paper:

```bibtex

```