DocumentCode :
3326012
Title :
Subband dereverberation algorithm for noisy environments
Author :
Shi, Guangji ; Ma, Changxue
Author_Institution :
DTS Inc., Scotts Valley, CA, USA
fYear :
2012
fDate :
12-14 Jan. 2012
Firstpage :
127
Lastpage :
130
Abstract :
In hands-free voice applications (including voice communication and voice recognition), the captured signal is severely degraded by reverberation when a talker is further away from the microphone. Reverberation significantly degrades speech quality and speech recognition accuracy. As a result, it is necessary to suppress reverberation. Spectral subtraction based approach has been used for reverberation reduction. In this paper, an efficient subband de-reverberation approach based on spectral subtraction is proposed. The Algorithm is able to effectively reduce reverberation in noisy environments while maintaining low complexity and low signal distortion level.
Keywords :
distortion; interference suppression; microphones; reverberation; speech recognition; voice communication; captured signal; hands-free voice applications; microphone; noisy environments; reverberation reduction; signal distortion; spectral subtraction; speech quality; speech recognition accuracy; subband dereverberation; voice communication; voice recognition; Algorithm design and analysis; Gain; Noise; Partitioning algorithms; Reflection; Reverberation; Speech; Dereverberation; Spectral Subtraction; noise suppression; subband;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Signal Processing Applications (ESPA), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-0899-1
Type :
conf
DOI :
10.1109/ESPA.2012.6152462
Filename :
6152462
Link To Document :
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