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.<>


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    Title :

    Noisy adaptive cepstral coefficients and its application to noisy speech recognition


    Contributors:


    Publication date :

    1994-01-01


    Size :

    290752 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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