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A perceptual masking approach for noise robust speech recognition
2012
EURASIP Journal on Audio, Speech, and Music Processing
This article describes a modified technique for enhancing noisy speech to improve automatic speech recognition (ASR) performance. The proposed approach improves the widely used spectral subtraction which inherently suffers from the associated musical noise effects. Through a psychoacoustic masking and critical band variance normalization technique, the artifacts produced by spectral subtraction are minimized for improving the ASR accuracy. The popular advanced ETSI-2 front end is tested for
doi:10.1186/1687-4722-2012-29
fatcat:azwumrymgfcsbcnuhp3cdfhyhi