Title
On the Global Output SNR of the Parameterized Frequency-Domain Multichannel Noise Reduction Wiener Filter
Abstract
The parameterized multichannel Wiener filter (PMWF) is known to allow for a flexible tuning of speech distortion and noise reduction. In addition, the output signal-to-noise ratio (SNR) is a natural metric that shows the true effect of such a filter on both residual noise and filtered speech. Earlier contributions have only shown that the output SNR of the Wiener filter is larger than the input SNR (as a proof of its effectiveness). However, the effect of the tuning parameter (denoted as ?? following the notation of [1]) on this metric is not yet understood. In this paper, we prove that the global (fullband) output SNR of the PMWF is an increasing function of ?? but remains below an asymptotic value. As a byproduct, a very simplified proof of the global output SNR improvement is provided.
Year
DOI
Venue
2010
10.1109/LSP.2010.2042520
Signal Processing Letters, IEEE
Keywords
Field
DocType
Wiener filters,interference suppression,microphone arrays,speech processing,frequency domain multichannel noise reduction Wiener filter,global output signal-to-noise ratio,microphone array,noise reduction,parameterized multichannel Wiener filter,speech distortion,Microphone array,noise reduction,parameterized multichannel Wiener filter,signal-to-noise ratio (SNR)
Noise reduction,Speech enhancement,Speech processing,Artificial intelligence,Frequency domain,Wiener filter,Parameterized complexity,Pattern recognition,Signal-to-noise ratio,Algorithm,Microphone array,Speech recognition,Mathematics
Journal
Volume
Issue
ISSN
17
5
1070-9908
Citations 
PageRank 
References 
5
0.59
5
Authors
3
Name
Order
Citations
PageRank
M. Souden1965.91
Jacob Benesty21941146.01
S. Affes346538.31