Papers by Fadi Biadsy

1 papers
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech (2021.emnlp-main)

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Challenge: Automatic Speech Recognition systems perform poorly on atypical speech and heavily accented speech.
Approach: They add a residual adapter to the encoder layer to improve model adaptation . they show that the residual adapters update only a tiny fraction of the model parameters .
Outcome: The proposed model fine-tuning improves performance on atypical and accented speech . the system can update only a tiny fraction of the model parameters .

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