Blind noise suppression for Non-Audible Murmur recognition with stereo signal processing

Author

Ishii, Shunta ; Toda, Tomoki ; Saruwatari, Hiroshi ; Sakti, Sakriani ; Nakamura, Satoshi

Author_Institution

Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma, Japan

fYear

2011

fDate

11-15 Dec. 2011

Firstpage

494

Lastpage

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.

Keywords

interference suppression; microphones; signal detection; speech processing; NAM microphone; blind noise suppression method; blind source separation; body-conductive microphones; nonaudible murmur recognition; recording mechanism; signal detection; spectral subtraction; stereo signal processing; Acoustics; Channel estimation; Hidden Markov models; Microphones; Noise; Speech; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Speech Recognition and Understanding (ASRU), 2011 IEEE Workshop on

Conference_Location

Waikoloa, HI

Print_ISBN

978-1-4673-0365-1

Electronic_ISBN

978-1-4673-0366-8

Type

conf

DOI

10.1109/ASRU.2011.6163981

Filename

6163981