31 citations · 37 across the 33 of their papers we have counts for
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Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models
Ryosuke Sawata, Yosuke Kashiwagi, Shusuke Takahashi
A deep neural network (DNN)-based speech enhancement (SE) aiming to maximize the performance of an automatic speech recognition (ASR) system is proposed in this paper. In order to…
Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios
Emiru Tsunoo, Kentaro Shibata, Chaitanya Narisetty +2
Although end-to-end automatic speech recognition (E2E ASR) has achieved great performance in tasks that have numerous paired data, it is still challenging to make E2E ASR robust ag…
Gaussian Kernelized Self-Attention for Long Sequence Data and Its Application to CTC-based Speech Recognition
Yosuke Kashiwagi, Emiru Tsunoo, Shinji Watanabe
Self-attention (SA) based models have recently achieved significant performance improvements in hybrid and end-to-end automatic speech recognition (ASR) systems owing to their flex…