Modality dropout training makes audio-visual target speaker extraction robust when audio or video is missing, across normalization layers and in causal configurations.
The cocktail-party problem revisited: Early processing and selection of multi-talker speech
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Training Strategies for Modality Dropout Resilient Multi-Modal Target Speaker Extraction
Modality dropout training makes audio-visual target speaker extraction robust when audio or video is missing, across normalization layers and in causal configurations.