69 citations · 109 across the 15 of their papers we have counts for
24 papers
Alzheimer's Dementia Detection through Spontaneous Dialogue with Proactive Robotic Listeners
Yuanchao Li, Catherine Lai, Divesh Lala +2
As the aging of society continues to accelerate, Alzheimer's Disease (AD) has received more and more attention from not only medical but also other fields, such as computer science…
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…
Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring
Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh +2
This article describes an efficient end-to-end speech translation (E2E-ST) framework based on non-autoregressive (NAR) models. End-to-end speech translation models have several adv…
VAD-free Streaming Hybrid CTC/Attention ASR for Unsegmented Recording
Hirofumi Inaguma, Tatsuya Kawahara
In this work, we propose novel decoding algorithms to enable streaming automatic speech recognition (ASR) on unsegmented long-form recordings without voice activity detection (VAD)…