MML-Group/code4AVE-Speech

Source Code for AVE Speech Dataset

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/ 100
Experimental

This project offers a comprehensive Mandarin speech corpus, AVE Speech, which provides synchronized audio, lip video, and surface electromyography (EMG) signals. It helps researchers develop and test robust speech recognition systems by offering 55+ hours of multi-modal data from 100 native speakers. Speech recognition researchers can use this dataset to train and evaluate models that analyze various types of input.

No commits in the last 6 months.

Use this if you are a speech recognition researcher or scientist looking for a large-scale, multi-modal Mandarin speech dataset to train advanced models.

Not ideal if you are looking for a pre-built, ready-to-deploy speech recognition application rather than a dataset for research and development.

speech-recognition computational-linguistics bio-signal-processing human-computer-interaction AI-research
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 0 / 25

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12

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Language

Python

License

MIT

Last pushed

Aug 28, 2025

Commits (30d)

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