• DocumentCode
    2804084
  • Title

    Spectral subtraction for reverberation reduction applied to automatic speech recognition

  • Author

    Pacheco, Fernando S. ; Seara, Rui

  • Author_Institution
    Fed. Univ. of Santa Catarina, Florianopolis
  • fYear
    2006
  • fDate
    3-6 Sept. 2006
  • Firstpage
    795
  • Lastpage
    800
  • Abstract
    In real conditions, reverberation severely compromises the accuracy of automatic speech recognition (ASR) systems. The use and the assessment of spectral subtraction for reducing the reverberation effect in ASR systems is discussed. For such, a general procedure is presented. The influence of some important dereverberation parameters, such as the reverberation time, on the recognition rate is evaluated. By using the referred approach, the speech recognition rate is considerably improved.
  • Keywords
    spectral analysis; speech recognition; automatic speech recognition; reverberation reduction; spectral subtraction; Acoustic distortion; Automatic speech recognition; Degradation; Laboratories; Microphones; Mobile handsets; Reverberation; Speech enhancement; Speech recognition; Working environment noise; Spectral subtraction; speech dereverberation; speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Symposium, 2006 International
  • Conference_Location
    Fortaleza, Ceara
  • Print_ISBN
    978-85-89748-04-9
  • Electronic_ISBN
    978-85-89748-04-9
  • Type

    conf

  • DOI
    10.1109/ITS.2006.4433380
  • Filename
    4433380
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2804084