The paper proposes a nonlinear cepstral equalization method for speech recognition. The method is based on AR modeling of clean speech power spectrum and the adding noise power to the speech. A noise ratio is introduced to provide a mechanism for adapting the reference template. An iterative algorithm is proposed to find a near optimal adaptation of reference cepstral parameters. Experiments showed that the proposed method is superior to the projection approach under severe noisy environment.<>
Noisy adaptive cepstral coefficients and its application to noisy speech recognition
01.01.1994
290752 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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