Abstract
Enhancement of speech in non-stationary background noise is a challenging task, and conventional single channel speech enhancement algorithms have not been able to improve the speech intelligibility in such scenarios. The work proposed in this paper investigates a single channel Kalman filter based speech enhancement algorithm, whose parameters are estimated using a codebook based approach. The results indicate that the enhancement algorithm is able to improve the speech intelligibility and quality according to objective measures. Moreover, we investigate the effects of utilizing a speaker specific trained codebook over a generic speech codebook in relation to the performance of the speech enhancement system.
Originalsprog | Engelsk |
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Tidsskrift | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
ISSN | 1520-6149 |
DOI | |
Status | Udgivet - apr. 2016 |
Begivenhed | The 41st IEEE International Conference on Acoustics, Speech and Signal Processing - Shanghai, Kina Varighed: 20 mar. 2016 → 25 mar. 2016 http://www.icassp2016.org/ |
Konference
Konference | The 41st IEEE International Conference on Acoustics, Speech and Signal Processing |
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Land/Område | Kina |
By | Shanghai |
Periode | 20/03/2016 → 25/03/2016 |
Internetadresse |