Gain relaxation: A useful technique for signal enhancement with an unaware local noise source targeted at speech recognition
Ryoji Miyahara, Akihiko Sugiyama
Abstract
This paper proposes gain relaxation in signal enhancement designed for speech recognition with an unaware local noise source. An attention is drawn to a new performance degradation problem in signal enhancement combined with automatic speech recognition (ASR), which is encountered in real products with an unaware noise source. Gain relaxation, as a solution, selectively applies softer enhancement of a target signal to eliminate potential degradation in speech recognition caused by small undesirable distortion in the target signal components. Evaluation of directional interference suppression with signals recorded by a commercial PC (personal computer) demonstrates that signal enhancement over the input is achieved without sacrificing the performance for clean speech.
BibTeX
@inproceedings{icassp2016_gainrelaxationau,
title = {Gain relaxation: A useful technique for signal enhancement with an unaware local noise source targeted at speech recognition},
author = {Ryoji Miyahara and Akihiko Sugiyama},
booktitle = {ICASSP 2016},
year = {2016}
}