• DocumentCode
    454637
  • Title

    Joint Acoustic-Modulation Frequency for Speaker Recognition

  • Author

    Kinnunen, Tomi

  • Author_Institution
    Media Div., Inst. for Infocomm Res.
  • Volume
    1
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    We propose a method for computing joint acoustic-modulation frequency feature for speaker recognition. This feature describes the amplitude modulation spectrum of each subband, and results in a single feature vector per utterance. This vector is directly used as the speaker´s modulation frequency template, excluding the need for a separate training phase. The effects of analysis parameters and pattern matching are studied using the NIST 2001 corpus. When fusing the proposed feature with the baseline MFCC/GMM system, EER is reduced from 18.2% to 16.7%
  • Keywords
    amplitude modulation; speaker recognition; speech processing; amplitude modulation spectrum; joint acoustic-modulation frequency; speaker recognition; Amplitude modulation; Bandwidth; Discrete Fourier transforms; Filtering; Frequency modulation; Humans; Speaker recognition; Spectrogram; Speech analysis; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660108
  • Filename
    1660108