• DocumentCode
    3140940
  • Title

    FPGA implementation of spectral subtraction for in-car speech enhancement and recognition

  • Author

    Whittington, Jim ; Deo, Kapeel ; Kleinschmidt, Tristan ; Mason, Michael

  • Author_Institution
    Dept. of Electron. Eng., LaTrobe Univ. Melbourne, Melbourne, VIC
  • fYear
    2008
  • fDate
    15-17 Dec. 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The use of speech recognition in noisy environments requires the use of speech enhancement algorithms in order to improve recognition performance. Deploying these enhancement techniques requires significant engineering to ensure algorithms are realisable in electronic hardware. This paper describes the design decisions and process to port the popular spectral subtraction algorithm to a Virtex-4 field-programmable gate array (FPGA) device. Resource analysis shows the final design uses only 13% of the total available FPGA resources. Waveforms and spectrograms presented support the validity of the proposed FPGA design.
  • Keywords
    automobiles; automotive electronics; field programmable gate arrays; spectral analysis; speech enhancement; speech recognition; FPGA; Virtex-4 field-programmable gate array device; electronic hardware; in-car speech enhancement; noisy environment; resource analysis; spectral subtraction; speech recognition; Algorithm design and analysis; Automatic speech recognition; Automotive engineering; Field programmable gate arrays; Hardware; Signal processing algorithms; Speech enhancement; Speech processing; Speech recognition; Working environment noise; Field programmable gate arrays; road vehicles; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communication Systems, 2008. ICSPCS 2008. 2nd International Conference on
  • Conference_Location
    Gold Coast, QLD
  • Print_ISBN
    978-1-4244-4243-0
  • Electronic_ISBN
    978-1-4244-4243-0
  • Type

    conf

  • DOI
    10.1109/ICSPCS.2008.4813714
  • Filename
    4813714