DocumentCode
3403874
Title
Speech enhancement with a new generalized eigenvector blocking matrix for application in a generalized sidelobe canceller
Author
Warsitz, Ernst ; Krueger, Alexander ; Haeb-Umbach, Reinhold
Author_Institution
Dept. of Commun. Eng., Univ. of Paderborn, Paderborn
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
73
Lastpage
76
Abstract
The generalized sidelobe canceller by Griffith and Jim is a robust beamforming method to enhance a desired (speech) signal in the presence of stationary noise. Its performance depends to a high degree on the construction of the blocking matrix which produces noise reference signals for the subsequent adaptive interference canceller. Especially in reverberated environments the beamformer may suffer from signal leakage and reduced noise suppression. In this paper a new blocking matrix is proposed. It is based on a generalized eigenvalue problem whose solution provides an indirect estimation of the transfer functions from the source to the sensors. The quality of the new generalized eigenvector blocking matrix is studied in simulated rooms with different reverberation times and is compared to alternatives proposed in the literature.
Keywords
adaptive signal processing; array signal processing; eigenvalues and eigenfunctions; interference suppression; matrix algebra; speech enhancement; transfer functions; adaptive interference canceller; array signal processing; beamforming method; generalized eigenvector blocking matrix; generalized sidelobe canceller; noise suppression; speech enhancement; transfer function estimation; Array signal processing; Eigenvalues and eigenfunctions; Interference cancellation; Noise cancellation; Noise reduction; Noise robustness; Reverberation; Speech enhancement; Transfer functions; Working environment noise; Speech enhancement; array signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4517549
Filename
4517549
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