137 citations · 217 across the 11 of their papers we have counts for
13 papers
Time-domain Speech Enhancement Assisted by Multi-resolution Frequency Encoder and Decoder
Hao Shi, Masato Mimura, Longbiao Wang +2
Time-domain speech enhancement (SE) has recently been intensively investigated. Among recent works, DEMUCS introduces multi-resolution STFT loss to enhance performance. However, so…
Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM
Hayato Futami, Hirofumi Inaguma, Sei Ueno +3
Connectionist temporal classification (CTC) -based models are attractive in automatic speech recognition (ASR) because of their non-autoregressive nature. To take advantage of text…
Distilling the Knowledge of BERT for CTC-based ASR
Hayato Futami, Hirofumi Inaguma, Masato Mimura +2
Connectionist temporal classification (CTC) -based models are attractive because of their fast inference in automatic speech recognition (ASR). Language model (LM) integration appr…
ASR Rescoring and Confidence Estimation with ELECTRA
Hayato Futami, Hirofumi Inaguma, Masato Mimura +2
In automatic speech recognition (ASR) rescoring, the hypothesis with the fewest errors should be selected from the n-best list using a language model (LM). However, LMs are usually…
End-to-end Music-mixed Speech Recognition
Jeongwoo Woo, Masato Mimura, Kazuyoshi Yoshii +1
Automatic speech recognition (ASR) in multimedia content is one of the promising applications, but speech data in this kind of content are frequently mixed with background music, w…
Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
Hayato Futami, Hirofumi Inaguma, Sei Ueno +3
Attention-based sequence-to-sequence (seq2seq) models have achieved promising results in automatic speech recognition (ASR). However, as these models decode in a left-to-right way,…