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.
Original language | English |
---|---|
Journal | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
ISSN | 1520-6149 |
DOIs | |
Publication status | Published - Apr 2016 |
Event | The 41st IEEE International Conference on Acoustics, Speech and Signal Processing - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 http://www.icassp2016.org/ |
Conference
Conference | The 41st IEEE International Conference on Acoustics, Speech and Signal Processing |
---|---|
Country/Territory | China |
City | Shanghai |
Period | 20/03/2016 → 25/03/2016 |
Internet address |