Journal of Zhejiang University SCIENCE A
ISSN 1673-565X(Print), 1862-1775(Online), Monthly

2009   Vol. 10   No. 6   p. 805~809

A noise cross PSD estimator for dual-microphone speech enhancement based on minimum statistics

Mohsen RAHMANI^†, Ahmad AKBARI, Beghdad AYAD, Nima DERAKHSHAN

(Research Center for Information Technology, Computer Department, Iran University of Science and Technology, Tehran, Iran)
^†E-mail: m-rahmani@araku.ac.ir
Received May 22, 2008; revision accepted Oct. 10, 2008; Crosschecked Apr. 27, 2009

Abstract: Some two-microphone noise reduction techniques that work in the frequency domain exploit coherence function between two noisy signals. They have shown good results when noise signals on two sensors are uncorrelated, but their performance decreases with correlated noises. Coherence based methods can be improved when the cross power spectral density (CPSD) of correlated noise signals is available. In this paper, we propose a new method for estimation of the CPSD of the noise, which is based on the minimum tracking technique. Despite the fact that the proposed estimator does not need to implement a voice activity detector (VAD), its performance is comparable to a CPSD estimator that uses an ideal VAD.

Key words: Two-channel noise reduction, Noise estimation, Minima tracking
doi:10.1631/jzus.A0820390             CLC number: TN912

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