• DocumentCode
    2085762
  • Title

    Speaker recognition based on short polish sequences

  • Author

    Marciniak, Tomasz ; Weychan, Radoslaw ; Drgas, Szymon ; Dabrowski, Adrian ; Krzykowska, Agnieszka

  • Author_Institution
    Div. of Signal Process. & Electron. Syst., Poznan Univ. of Technol., Poznań, Poland
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    95
  • Lastpage
    98
  • Abstract
    This paper presents results of speaker recognition experiments using short Polish sentences. We developed and analyzed various vector quantization representations in order to first maximize identification effectiveness and second to compare VQ (vector quantization) and GMM (Gaussian mixture model) approaches. For the research and experiments we created and exploited database, containing specially prepared short speech sequences.
  • Keywords
    Gaussian processes; natural language processing; speaker recognition; vector quantisation; Gaussian mixture model; identification effectiveness; short Polish sentences; speaker recognition; vector quantization representations; Image recognition; Quantization; Speech; Speech coding; Speech recognition; Testing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), 2010
  • Conference_Location
    Poznan
  • Print_ISBN
    978-1-4577-1485-6
  • Electronic_ISBN
    978-83-62065-07-3
  • Type

    conf

  • Filename
    5943721
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2085762