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  5. Assessment of a priori signal-to-noise ratio in noise reduction algorithms

Assessment of a priori signal-to-noise ratio in noise reduction algorithms

A.N. Prodeus, V.S. Didkovskyi
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Three methods of estimation of the a priori signal-to-noise ratio (SNR) in noise reduction algorithms were compared. It is shown that "decision-directed" method ensures the best sound quality of the speech signal. "Rough" estimate was the best for use in automatic speech recognition for the overall SNR > 15 dB. The maximum likelihood estimation occupies an intermediate position between estimates by "decision-directed" and “rough” estimator.
Keywords: noise interference; noise reduction algorithm; a priori signal-to-noise ratio; quality indicator; speech signal