Title
A family of maximum SNR filters for noise reduction
Abstract
This paper is devoted to the study and analysis of the maximum signal-to-noise ratio (SNR) filters for noise reduction both in the time and short-time Fourier transform (STFT) domains with one single microphone and multiple microphones. In the time domain, we show that the maximum SNR filters can significantly increase the SNR but at the expense of tremendous speech distortion. As a consequence, the speech quality improvement, measured by the perceptual evaluation of speech quality (PESQ) algorithm, is marginal if any, regardless of the number of microphones used. In the STFT domain, the maximum SNR filters are formulated by considering the interframe information in every frequency band. It is found that these filters not only improve the SNR, but also improve the speech quality significantly. As the number of input channels increases so is the gain in SNR as well as the speech quality. This demonstrates that the maximum SNR filters, particularly the multichannel ones, in the STFT domain may be of great practical value.
Year
DOI
Venue
2014
10.1109/TASLP.2014.2360643
IEEE/ACM Transactions on Audio, Speech & Language Processing
Keywords
Field
DocType
signal denoising,time domain,design,experimentation,methodologies and techniques,fourier transforms,microphones,interframe information,microphone,multichannel,speech quality improvement,short-time fourier transform domain,pesq algorithm,maximum snr filter,measurement,single channel,noise reduction,short-time fourier transform (stft) domain,signal analysis, synthesis, and processing,perceptual evaluation of speech quality algorithm,filtering theory,speech enhancement,signal-to-noise ratio filter,stft domain,performance,speech distortion
Speech enhancement,Noise reduction,Time domain,Computer science,Frequency band,Short-time Fourier transform,Fourier transform,Speech recognition,Microphone,PESQ
Journal
Volume
Issue
ISSN
22
12
2329-9290
Citations 
PageRank 
References 
4
0.47
18
Authors
4
Name
Order
Citations
PageRank
Gongping Huang17613.39
Jacob Benesty21386136.42
Tao Long391.64
Jingdong Chen41460128.79