Paper Info
Title
Parametric multichannel noise reduction algorithm utilizing temporal correlations in reverberant environment
Abstract
In this paper, we propose a parametric multichannel noise reduction algorithm utilizing temporal correlations in a noisy and reverberant environment. Under the reverberant condition, the received acoustic signal becomes highly correlated in the time domain and it makes successful noise reduction quite difficult. The proposed parametric noise reduction method takes account of interdependencies between components observed from different frames. Extended speech and noise power spectral density (PSD) matrices are estimated containing additional temporal information, and the parametric multichannel noise reduction filter based on these PSD matrices is applied to the input microphone array signal. According to the experimental results, the proposed algorithm has been found to show better performances compared with the conventional multiplicative filtering technique which considers the current input signals only.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6854967
ICASSP
Keywords
Field
DocType
signal denoising,microphone array signal,multichannel noise reduction,acoustic noise,reverberant environment,temporal correlations,acoustic signal processing,parameterized non-causal multichannel wiener filter,parametric multichannel noise reduction algorithm,power spectral density matrices,received acoustic signal,microphone array,microphone arrays,speech,noise measurement,noise,noise reduction,correlation
Value noise,Colors of noise,Median filter,Noise (signal processing),Noise measurement,Computer science,Artificial intelligence,Noise floor,Pattern recognition,Algorithm,Speech recognition,Gaussian noise,Gradient noise
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yu Gwang Jin1114.10
Jong Won Shin221521.85
Chul Min Lee384953.76
Soo Hyun Bae401.35
Nam Soo Kim534.11