Paper Info
Title
A New Algorithm For Noise Psd Matrix Estimation In Multi-Microphone Speech Enhancement Based On Recursive Smoothing
Abstract
In this paper, we present a new algorithm for the estimation of the noise power spectral density (PSD) matrix, as needed for multi-microphone speech enhancement in a general non-stationary noisy environment. First, we propose a recursive scheme for noise PSD estimation in which the current, previous and close subsequent noisy speech frames are properly weighted. The forgetting factor for the recursive updating of the smoothed PSD is obtained based on an overall measure of the SNR across all microphone signals. Since this SNR measure depends on the noise statistics, we choose to iteratively update it using the latest available estimate of the noise PSD matrix. Finally, to obtain better estimation accuracy in the proposed method, we further apply a direct extension of the minimum tracking approach to the estimated noise PSD matrix. Performance of the proposed algorithm is evaluated in terms of objective measures and its superiority is shown with respect to two recent noise PSD estimation methods in the context of speech enhancement.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
Microphone array, noise PSD matrix estimation, noise reduction, speech enhancement
Field
DocType
ISSN
Speech enhancement,Value noise,Noise power,Pattern recognition,Noise measurement,Computer science,Signal-to-noise ratio,Algorithm,Salt-and-pepper noise,Artificial intelligence,Gaussian noise,Gradient noise
Conference
0271-4302
Citations 
PageRank 
References 
1
0.37
4
Authors
3
Name
Order
Citations
PageRank
Mahdi Parchami152.77
Wei-Ping Zhu255562.46
Benoît Champagne351067.66