Kalman filter for speech enhancement in cocktail party scenarios using a codebook-based approach
Mathew Shaji Kavalekalam, Mads Græsbøll Christensen, Fredrik Gran, Jesper Bünsow Boldt
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.
BibTeX
@inproceedings{icassp2016_kalmanfilterfors,
title = {Kalman filter for speech enhancement in cocktail party scenarios using a codebook-based approach},
author = {Mathew Shaji Kavalekalam and Mads Græsbøll Christensen and Fredrik Gran and Jesper Bünsow Boldt},
booktitle = {ICASSP 2016},
year = {2016}
}