README.md

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ExpressiveSpeech Dataset

中文版说明 (Chinese Version)

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.

Citation

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