Speech enhancement in non-stationary noise using compressive sensing
This paper addresses the problem of single channel speech enhancement algorithm in non-stationary noise environment which is rather difficult compared to the stationary noise. We proposed a new speech enhancement algorithm based on compressive sensing. First, the noise average estimation and Wi...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
The Institute of Electrical and Electronics Engineers, Inc.
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/52423/ http://irep.iium.edu.my/52423/ http://irep.iium.edu.my/52423/ http://irep.iium.edu.my/52423/13/52423.pdf http://irep.iium.edu.my/52423/19/52423-Speech%20enhancement%20in%20non-stationary%20noise%20using%20compressive%20sensing_SCOPUS.pdf |
| Summary: | This paper addresses the problem of single channel
speech enhancement algorithm in non-stationary noise
environment which is rather difficult compared to the
stationary noise. We proposed a new speech enhancement
algorithm based on compressive sensing. First, the noise
average estimation and Wiener filter gain are calculated.
Compressive sensing using GPSR technique is then
incorporated by randomly selected the sparse signal of
unconstrained problem with suitable basis and reconstruct the
noiseless distortion to the enhanced speech. The performance is
evaluated using PESQ score improvement. Our proposed
algorithm shows better performance compared to other
traditional algorithms across two non-stationary noises at
various SNRs. On average, the PESQ improvement was
19.14% and 7.12% for exhibition and restaurant noises,
respectively. |
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