A 0.1M-parameter visual frontend plus an autoregressive acoustic encoder improves online audio-visual speaker extraction by up to 0.9 dB SI-SNRi on simulated LRS3 mixtures, with roughly 0.5 dB attributable to the acoustic encoder alone.
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Online Audio-Visual Autoregressive Speaker Extraction
A 0.1M-parameter visual frontend plus an autoregressive acoustic encoder improves online audio-visual speaker extraction by up to 0.9 dB SI-SNRi on simulated LRS3 mixtures, with roughly 0.5 dB attributable to the acoustic encoder alone.