• DocumentCode
    2297859
  • Title

    Chip design of mel frequency cepstral coefficients for speech recognition

  • Author

    Wang, Jia-Ching ; Wang, Jhing Fa ; Wen, Yu-Sheng

  • Author_Institution
    Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    6
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3658
  • Abstract
    The mel frequency cepstral coefficients (MFCC) is one of the mast important features, which is required among various kinds of speech applications. The chip for speech features extraction based on the MFCC algorithm is first proposed. The chip is designed with area efficient consideration and can achieve the following: (1) the reduction of table size and multiplication complexity by means of the symmetric property of the cosine function, (2) the decrease of the multiplication load and required constant memory in the calculation of the weighted energy spectrum by applying the mapping relationship between the mel scale and the frequency scale, (3) the minimization of the look-up table size for logarithm operations by modifying the partitioned table look-up method. The chip is fabricated with 0.6 μm double-metal CMOS technology. It contains approximately 10,000 gates occupying 3.2×3.3 mm2 area and the maximum clock rate is 50 MHz
  • Keywords
    CMOS digital integrated circuits; VLSI; cepstral analysis; digital signal processing chips; feature extraction; speech recognition; table lookup; 0.6 micron; 50 MHz; MFCC algorithm; VLSI architecture; chip design; cosine function; double-metal CMOS technology; frequency scale; logarithm operations; look-up table size minimization; mapping relationship; maximum clock rate; mel frequency cepstral coefficients; mel scale; multiplication complexity reduction; multiplication load reduction; partitioned table look-up method; speech applications; speech features extraction; speech recognition; symmetric property; weighted energy spectrum; CMOS technology; Cepstral analysis; Chip scale packaging; Equations; Fast Fourier transforms; Feature extraction; Mel frequency cepstral coefficient; Minimization methods; Parametric statistics; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-6293-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2000.860195
  • Filename
    860195