MML-Group/AVE-Speech
AVE Speech: A Comprehensive Multi-Modal Dataset for Speech Recognition Integrating Audio, Visual, and Electromyographic Signals Abstract AVE Speech is a large-scale Mandarin speech corpus that pairs synchronized audio, lip video and surface electromyography (EMG) recordings. The dataset contains 100 sentences read by 100 native speakers. Each participant repeated the full corpus ten times, yielding over 55 hours of data per modality. These complementary signals… See the full description on the dataset page: https://huggingface.co/datasets/MML-Group/AVE-Speech.
| Author / organization | MML-Group |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 356 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 23 January 2025 |
| Last updated at source | 11 October 2025 |
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356 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: AVE Speech: A Comprehensive Multi-Modal Dataset for Speech Recognition Integrating Audio, Visual, and Electromyographic Signals Abstract AVE Speech is a large-scale Mandarin speech corpus that pairs synchronized audio, lip video and surface → AVE Speech: A Comprehensive Multi-Modal Dataset for Speech Recognition Integrating Audio, Visual, and Electromyographic Signals Abstract AVE Speech is a large-scale Mandarin speech corpus that pairs synchronized audio, lip video and surface
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