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Found 2 papers, 1 papers with code
Efficient infusion of self-supervised representations in Automatic Speech Recognition
Self-supervised learned (SSL) models such as Wav2vec and HuBERT yield state-of-the-art results on speech-related tasks.
Accented Speech Recognition With Accent-specific Codebooks
In this work, we propose a novel accent adaptation approach for end-to-end ASR systems using cross-attention with a trainable set of codebooks.
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