DocumentCode :
2482828
Title :
Improving the performance of cough sound discriminator in reverberant environments using microphone array
Author :
Moradshahi, Payam ; Chatrzarrin, Hanieh ; Goubran, Rafik
Author_Institution :
Dept. of Syst. & Comput. Eng., Univ., Ottawa, ON, Canada
fYear :
2012
fDate :
13-16 May 2012
Firstpage :
20
Lastpage :
23
Abstract :
In this paper, the performance of a cough sound discriminator capable of distinguishing between dry and wet cough sounds is evaluated in reverberant environments. In addition, microphone array is used in order to improve the performance of the cough sound discriminator. Cough sounds were acquired by a single microphone in a reverberant room at various microphone-to-speaker distances. Results showed a decrease in the performance of the cough sound discriminator as the distance between the microphone and speaker increased. In order to improve the performance of the cough sound discriminator, a microphone array structure of up to seven microphones was used. The linear separation score measured for numerous microphone-to-microphone and microphone-to-speaker distances revealed a significant improvement in the performance of the cough sound discriminator using the microphone array.
Keywords :
microphone arrays; reverberation; speaker recognition; cough sound discriminator; dry cough sound; microphone array; microphone-to-microphone distance; microphone-to-speaker distance; reverberant environments; wet cough sound; Array signal processing; Arrays; Conferences; Microphones; Monitoring; Smart homes; Support vector machines; beamforming; cough sound discrimination; microphone array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International
Conference_Location :
Graz
ISSN :
1091-5281
Print_ISBN :
978-1-4577-1773-4
Type :
conf
DOI :
10.1109/I2MTC.2012.6229523
Filename :
6229523
Link To Document :
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