most citedUnsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition

69 citations · 73 across the 4 of their papers we have counts for

collaborators

8 papers

eess.AS2020

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…

cs.CL20204 cited

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,…

eess.AS2020

Enhancing Monotonic Multihead Attention for Streaming ASR

Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara

We investigate a monotonic multihead attention (MMA) by extending hard monotonic attention to Transformer-based automatic speech recognition (ASR) for online streaming applications…

eess.AS2020

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…

cs.CL2020

CTC-synchronous Training for Monotonic Attention Model

Hirofumi Inaguma, Masato Mimura, Tatsuya Kawahara

Monotonic chunkwise attention (MoChA) has been studied for the online streaming automatic speech recognition (ASR) based on a sequence-to-sequence framework. In contrast to connect…

cs.CL2020

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…