A New Speech Enhancement Algorithm for Car Environment Noise Cancellation with MBD and Kalman Filtering

Seungkwon BEACK  Seung H. NAM  Minsoo HAHN  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E88-A   No.3   pp.685-689
Publication Date: 2005/03/01
Online ISSN: 
DOI: 10.1093/ietfec/e88-a.3.685
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Adaptive Signal Processing and Its Applications)
Category: 
Keyword: 
speech enhancement,  multichannel blind deconvolution,  Kalman filter,  

Full Text: PDF>>
Buy this Article




Summary: 
We present a new speech enhancement algorithm in a car environment with two microphones. The car audio signals and other background noises are the target noises to be suppressed. Our algorithm is composed of two main parts, i.e., the spatial and the temporal processes. The multi-channel blind deconvolution (MBD) is applied to the spatial process while the Kalman filter with a second-order high pass filter, for the temporal one. For the fast convergence, the MBD is newly expressed in frequency-domain with a normalization matrix. The final performance evaluated with the severely car noise corrupted speech shows that our algorithm produces noticeably enhanced speech.