On-line compensation for non-stationary noise

Abstract

An improvement of a previously proposed frame-synchronous noise compensation algorithm is presented. The previous algorithm used Stochastic Matching approach and was designed to cope with time-varying noise. The improved version of this algorithm takes into account the abrupt changes.. 'in the acoustical environment. The environment change is detected using the Shewart Control Charts detection algorithm that searches for the changes in the means of Gaussian sequence. For each noisy environment a specific mismatch function is estimated. A simple bias is used as mismatch function. After detection of environment change, the bias is reinitialized by the value corresponding to the closest noisy environment previously observed. This technique is general since no assumption is made on the nature, level and occumng time of noise. Our algorithm is evaluated on the VODIS database (speech in moving car). All the test sentences were corrupted by an additive noise occurring at the middle of each sentence. This latest version of our algorithm gives significant improvement compared to classical compensation algorithms.

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“…Two decades ago, French researchers suggested the detection of environmental changes using Shewhart's control chart detection algorithm that searches for the changes in the means of Gaussian sequence. This technique is general since no assumption is made on the nature, level and occurring time of noise and gives significant improvement compared to classical compensation algorithms [6].…”