1 citations · 1 across the 8 of their papers we have counts for
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SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction
Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich +2
Sign language processing has traditionally relied on task-specific models, limiting the potential for transfer learning across tasks. Pre-training methods for sign language have ty…
A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generation
Alexander H. Liu, Qirui Wang, Yuan Gong +1
Neural Audio Codecs, initially designed as a compression technique, have gained more attention recently for speech generation. Codec models represent each audio frame as a sequence…
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective
Alexander H. Liu, Sung-Lin Yeh, James Glass
Existing studies on self-supervised speech representation learning have focused on developing new training methods and applying pre-trained models for different applications. Howev…