CNVSRC 2024 lowers the baseline character error rate for Chinese visual speech recognition from 48.6% to 39.7% (single-speaker) and from 58.4% to 52.2% (multi-speaker), while adding a 200-hour dataset and documenting winning methods.
It has a wide range of applications, including public surveillance, assistive technologies for the elderly and disabled, and deepfake detection [1, 2, 3, 4]
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CNVSRC 2024: The Second Chinese Continuous Visual Speech Recognition Challenge
CNVSRC 2024 lowers the baseline character error rate for Chinese visual speech recognition from 48.6% to 39.7% (single-speaker) and from 58.4% to 52.2% (multi-speaker), while adding a 200-hour dataset and documenting winning methods.