most citedDPHuBERT: Joint Distillation and Pruning of Self-Supervised Speech Models

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cs.SD2023

Retraining-free Customized ASR for Enharmonic Words Based on a Named-Entity-Aware Model and Phoneme Similarity Estimation

Yui Sudo, Kazuya Hata, Kazuhiro Nakadai

End-to-end automatic speech recognition (E2E-ASR) has the potential to improve performance, but a specific issue that needs to be addressed is the difficulty it has in handling enh…