AISHELL6-whisper: A Chinese Mandarin Audio-visual Whisper Speech Dataset with Speech Recognition Baselines
Paper
•
2509.23833
•
Published
Datasets:
Data Application
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🗣️ AISHELL6-Whisper
AISHELL6-Whisper is a large-scale open-source Chinese Mandarin audio-visual whisper speech dataset,
containing 30 hours each of whisper and parallel normal speech, with synchronized frontal RGB-D facial videos.
📘 Dataset Summary
| Property | Description |
|---|---|
| Language | Chinese (Mandarin, ZH) |
| License | CC BY-NC-SA 4.0 |
| Duration | ~60 hours total (30 h whisper + 30 h normal) |
| Speakers | 167 total (121 with RGB-D, 46 audio-only) |
| Environment | Controlled studio recording |
| Sampling Rate | 48 kHz |
| Video Resolution | 1280 × 720 @ 25 fps |
🎙️ Dataset Description
🏛️ Recording Environment
The AISHELL6-Whisper corpus was collected in a controlled studio to ensure acoustic consistency between whisper and normal speech.
- Speakers: 167 participants reading 10–20 minutes of unique poetry texts (no content overlap).
- Modalities:
- 121 speakers: high-fidelity audio + RGB-D video
- 46 speakers: audio only
- Speech styles: Whispered and normal speech, recorded in parallel sessions.
🔊 Audio Specifications
- Microphone: Neumann U87 single-channel condenser mic
- Sampling rate: 48,000 Hz
- Background noise level: < 20 dB (studio noise floor)
- File format:
.wav - Each recording contains paired whisper–normal utterances
🎥 Video Specifications
- Camera: RGB-D depth camera
- Placement: 1 meter in front of the speaker
- Resolution: 1280×720 pixels
- Frame rate: 25 fps
- Includes frontal facial views synchronized with the audio.
📄 Dataset Resources
- 📄 Paper: arXiv:2509.23833
- 🌐 Demo: zutm.github.io/AISHELL6-Whisper
📜 Citation
If you use this dataset, please cite:
@article{li2025aishell6,
title = {AISHELL6-Whisper: A Chinese Mandarin Audio-Visual Whisper Speech Dataset with Speech Recognition Baselines},
author = {Li, Cancan and Su, Fei and Liu, Juan and Bu, Hui and Wan, Yulong and Suo, Hongbin and Li, Ming},
journal = {arXiv preprint arXiv:2509.23833},
year = {2025}
}
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