Polynomial Mixing for Efficient Self-supervised Speech Encoders
arXiv:2603.00683v1 Announce Type: new Abstract: State-of-the-art speech-to-text models typically employ Transformer-based encoders that model token dependencies via self-attention mechanisms. However, the quadratic complexity of self-attention …
Eva Feillet, Ryan Whetten, David Picard, Alexandre Allauzen
조회수 23회