Abstract
Consideration was given to the transformations of speech in the frequency domain which precede extraction of the informative attributes of phonemes. A processing of the speech spectrum ensuring stability of recognition in the presence of frequency distortions and additive noise was proposed. It is based on linear bandpass filtering of the logarithmic amplitude spectrum and subsequent nonlinear transformation that models the effect of lateral inhibition in the auditory analyzer.
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Kolokolov, A.S. Signal Preprocessing for Speech Recognition. Automation and Remote Control 63, 494–501 (2002). https://doi.org/10.1023/A:1014714820229
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DOI: https://doi.org/10.1023/A:1014714820229