IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
A New Method for Low SNR Estimation of Noisy Speech Signals Using Fourth-Order Moments
Roghayeh DOOSTAbolghasem SAYADIANHossein SHAMSI
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JOURNAL FREE ACCESS

2010 Volume E93.D Issue 6 Pages 1599-1607

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Abstract

In this paper the SNR estimation is performed frame by frame, during the speech activity. For this purpose, the fourth-order moments of the real and imaginary parts of frequency components are extracted, for both the speech and noise, separately. For each noisy frame, the mentioned fourth-order moments are also estimated. Making use of the proposed formulas, the signal-to-noise ratio is estimated in each frequency index of the noisy frame. These formulas also predict the overall signal-to-noise ratio in each noisy frame. What makes our method outstanding compared to conventional approaches is that this method takes into consideration both the speech and noise identically. It estimates the negative SNR almost as well as the positive SNR.

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© 2010 The Institute of Electronics, Information and Communication Engineers
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