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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
``` |