|
|
| --- |
|
|
| # 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 |
| |
| ``` |
