Bootstrapping Audiovisual Speech Recognition in Zero-AV-Resource Scenarios
Audiovisual speech recognition (AVSR) combines acoustic and visual cues to improve transcription robustness under challenging conditions but remains out of reach for most under-resourced languages due to the lack of labeled video corpora for training. Synthetic visual data have been shown to be an effective augmentation strategy for addressing AV data scarcity. However, a more challenging scenario arises for languages such as Catalan, where no real audiovisual data are available for training. In this study, we investigate whether AVSR can be bootstrapped in such a zero-AV-resource setting, using synthetic visual data as the sole source of visual supervision. We synthesize over 700 hours o...
| Authors | Pol Buitrago, Javier Hernando |
|---|---|
| Primary category | eess.AS |
| Published | 9 March 2026 |
| Last updated at source | 29 September 2026 |
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