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Typically, the power spectrum of a speech frame used in speech recognition is estimated for a fixed length window using the fast Fourier transform. Each frequency component represented in this power spectrum is an estimate over that speech frame. The power spectrum calculated in this way has a constant time and frequency resolution. An example of this type of front-end is the LPC-derived cepstral...
This paper presents an acoustic front-end which uses the properties of auditory masking for extracting acoustic features from the speech signal. Using the properties of simultaneous masking found in the human auditory system, we compute a masking threshold as a function of frequency for a given speech frame from its power spectrum. All those portions of the power spectrum which are below the auditory...
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