6 citations · 10 across the 5 of their papers we have counts for
5 papers
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…
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,…
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech Recognition
Kohei Matsuura, Masato Mimura, Shinsuke Sakai +1
It is important to transcribe and archive speech data of endangered languages for preserving heritages of verbal culture and automatic speech recognition (ASR) is a powerful tool t…
Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language
Kohei Matsuura, Sei Ueno, Masato Mimura +2
Ainu is an unwritten language that has been spoken by Ainu people who are one of the ethnic groups in Japan. It is recognized as critically endangered by UNESCO and archiving and d…
Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR
Hirofumi Inaguma, Masato Mimura, Shinsuke Sakai +1
Acoustic-to-word (A2W) end-to-end automatic speech recognition (ASR) systems have attracted attention because of an extremely simplified architecture and fast decoding. To alleviat…