International Journal of Wireless and Microwave Technologies(IJWMT)
ISSN: 2076-1449 (Print), ISSN: 2076-9539 (Online)
Published By: MECS Press
IJWMT Vol.1, No.2, Apr. 2011
A Speech Enhancement Method Based on Kalman Filtering
Full Text (PDF, 178KB), PP.55-61
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task for many signal processing applications. In this study, we present a monaural speech enhancement method based on spectral subtraction and Kalman filtering (KF) by extracting the Liljencrants–Fant (LF) excitation during voiced speech, in which the nature of glottal flow can be maintained. Therefore, the approach could preserve the glottal pulse's nature characteristic in Kalman filtering and thus achieve significant improvements on objective quality. The quality of the enhanced speech has been evaluated by perceptual evaluation of speech quality (PESQ) score. The results indicate that the proposed algorithm could improve the output speech quality compared with the conventional KF algorithm and sub-band spectral subtraction.
Cite This Paper
Chaogang Wu,Bo Li,Jin Zheng,"A Speech Enhancement Method Based on Kalman Filtering", IJWMT, vol.1, no.2, pp.55-61, 2011.
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