• DocumentCode
    1293480
  • Title

    Subband-based blind signal separation for noisy speech recognition

  • Author

    Park, Hyung-Min ; Jung, Ho-Young ; Lee, Te-Won ; Lee, Soo-Young

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
  • Volume
    35
  • Issue
    23
  • fYear
    1999
  • fDate
    11/11/1999 12:00:00 AM
  • Firstpage
    2011
  • Lastpage
    2012
  • Abstract
    A method for directly extracting clean speech features from noisy speech is proposed. This process is based on independent component analysis (ICA) and a new feature analysis technique for reducing the computational complexity of the frequency domain ICA. For noisy speech signals recorded in real environments, this method yielded a considerable performance improvement
  • Keywords
    computational complexity; feature extraction; noise; spectral analysis; speech recognition; clean speech features extraction; computational complexity reduction; feature analysis technique; frequency domain ICA; independent component analysis; noisy speech recognition; subband-based blind signal separation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19991358
  • Filename
    819027
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1293480