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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    Titel :

    Noisy adaptive cepstral coefficients and its application to noisy speech recognition


    Beteiligte:
    Lee-Min Lee (Autor:in) / Jen-Kwang Chen (Autor:in) / Hsiao-Chuan Wang (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    290752 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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