• DocumentCode
    3073042
  • Title

    Highly parallel architectures and algorithms for speech analysis

  • Author

    Siegel, Leah Jamieson

  • Author_Institution
    Purdue University, West Lafayette, Indiana
  • Volume
    9
  • fYear
    1984
  • fDate
    30742
  • Firstpage
    331
  • Lastpage
    334
  • Abstract
    Highly parallel computer architectures and algorithms for speech analysis operations are surveyed. The classes of architectures considered include SIMD, skewed-SIMD, MIMD, and data flow machines, associative processors, and pipelined systolic and wavefront arrays. Parallel algorithms for digital filtering, FFTs, and linear predictive coding are summarized. System requirements are analyzed in terms of number and complexity of processors, memory requirements, and nature and complexity of inter-processor communications.
  • Keywords
    Algorithm design and analysis; Computer architecture; Filtering; Parallel algorithms; Parallel architectures; Parallel processing; Signal processing algorithms; Speech analysis; Speech processing; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1984.1172513
  • Filename
    1172513