2026
LEVERAGING AUDIO-VISUAL DATA TO REDUCE THE MULTILINGUAL GAP IN SELF-SUPERVISED SPEECH MODELS
ICASSP 2026poster
Self-supervised learning (SSL) has made significant advances in speech representation learning. Models like wav2vec 2.0 and HuBERT have achieved state-of-the-art results in tasks such as speech recognition, particularly in monolingual settings. However, multilingual SSL models tend to underperform t…