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Title: Blind noise suppression for non-audible murmur recognition with stereo signal processing
Authors: Shunta Ishii
Tomoki Toda
Hiroshi Saruwatari
Sakriani Sakti
Satoshi Nakamura
Issue Date: Nov-2011
Publisher: IEEE
Start page: 494
End page: 499
Abstract: In this paper, we propose a blind noise suppression method for Non-Audible Murmur (NAM) recognition. NAM is a very soft whispered voice detected with NAM microphone, which is one of the body-conductive microphones. Due to its recording mechanism, the detected signal suffers from noise caused by speaker's movements. In the proposed method using a stereo signal detected with two NAM microphones, the noise is estimated with blind source separation, and then, spectral subtraction is performed in each channel to reduce the noise. Moreover, channel selection is performed frame by frame to generate less distorted monaural NAM signal. Experimental results show that 1) word accuracy in large vocabulary continuous NAM recognition is degraded from 69.2% to 53.6% by the noise and 2) it is significantly recovered to 63.3% in a simulated situation and 58.6% in a real situation with the proposed method.
Description: ASRU 2011: 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, December 11-15, 2011, Waikoloa, Hawaii, USA,
ISBN: 9781467303651
Rights: Copyright 2011 IEEE
Text Version: Publisher
Publisher DOI: 10.1109/ASRU.2011.6163981
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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