• DocumentCode
    1721290
  • Title

    Single Channel Enhancement for Speech Recognition

  • Author

    Droppo, Jasha

  • Author_Institution
    Microsoft Res., Redmond, WA
  • fYear
    2008
  • Firstpage
    93
  • Lastpage
    97
  • Abstract
    Single channel speech enhancement has been an active field of research for several decades. The majority of research has focused on human perceptions of quality and intelligibility. Nevertheless, such algorithms can be applied directly to the noise-robust speech recognition problem with some success. More gain can be achieved by creating domain-specific solutions that are modeled on the more traditional enhancement algorithms. This paper covers the major pieces necessary for a modern single channel enhancement system suitable for automatic speech recognition.
  • Keywords
    speech enhancement; speech recognition; telecommunication channels; automatic speech recognition; channel enhancement; domain-specific solutions; human perceptions; Acoustic noise; Additive noise; Automatic speech recognition; Humans; Noise robustness; Signal processing; Signal processing algorithms; Speech enhancement; Speech recognition; Working environment noise; Noise suppression; Robust speech recognition; Speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008
  • Conference_Location
    Trento
  • Print_ISBN
    978-1-4244-2337-8
  • Electronic_ISBN
    978-1-4244-2338-5
  • Type

    conf

  • DOI
    10.1109/HSCMA.2008.4538696
  • Filename
    4538696