We present a new approach for speech enhancement in the presence of non-stationary and rapidly changing background noise. A distributed microphone system is used to capture the acoustic characteristics of the environment. The input of each microphone is then classified either as speech or one of the predetermined noise types. Further enhancement of speech in respective microphones is carried out using a modified spectral subtraction algorithm that incorporates multiple noise models to quickly adapt to rapid background noise changes. Tests on real world speech captured under diverse conditions demonstrate the effectiveness of this method.
History
Pagination
1 - 4
Location
Tampa, Fla.
Open access
Yes
Start date
2008-12-08
End date
2008-12-11
ISSN
1051-4651
ISBN-13
9781424421749
ISBN-10
1424421748
Language
eng
Publication classification
E1.1 Full written paper - refereed
Copyright notice
2008, IEEE
Title of proceedings
ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition