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Erfan A. Shams

1 accepted papers

2024

Following the Embedding: Identifying Transition Phenomena in Wav2vec 2.0 Representations of Speech Audio

ICASSP 2024accepted

Although transformer-based models have improved the state-of-the-art in speech recognition, it is still not well understood what information from the speech signal these models encode in their latent representations. This study investigates the potential of using labelled data (TIMIT) to probe wav2v…

Cited by 0SourceScholar