• DocumentCode
    824641
  • Title

    A mathematical relationship between full-band and multiband mel-frequency cepstral coefficients

  • Author

    Mak, Brian

  • Author_Institution
    Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Clear Water Bay, China
  • Volume
    9
  • Issue
    8
  • fYear
    2002
  • Firstpage
    241
  • Lastpage
    244
  • Abstract
    Recently, it has been shown that robustness of automatic speech recognition (ASR) against band-limited additive noises may be improved by multiband ASR (MBASR) approaches. In an M-subband MBASR system, the channels in the full-band filterbank are divided into M subbands, usually of equal partitions, and subband mel-frequency cepstral coefficients (MFCCs) are computed from each filterbank partition using the discrete cosine transform. However, there is not as yet any analysis on the relationship between full-band and multiband MFCCs. In this letter, we show that the (Mj)th full-band MFCC is the sum of or difference between the Mjth multiband MFCCs multiplied by /spl radic/M.
  • Keywords
    cepstral analysis; discrete cosine transforms; speech recognition; ASR; M-subband MBASR system; automatic speech recognition; band-limited additive noise; discrete cosine transform; filterbank partition; full-band coefficients; full-band filterbank; mel-frequency cepstral coefficients; multiband coefficients; subband coefficients; Additive noise; Automatic speech recognition; Bandwidth; Cepstral analysis; Discrete cosine transforms; Filter bank; Hidden Markov models; Mel frequency cepstral coefficient; Noise robustness; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2002.803007
  • Filename
    1034987