• DocumentCode
    134347
  • Title

    Improved multitaper PNCC feature for robust speaker verification

  • Author

    Yi Liu ; Liang He ; Jia Liu

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    12-14 Sept. 2014
  • Firstpage
    168
  • Lastpage
    172
  • Abstract
    A major challenge for practical speaker verification is the significant performance degradation in noisy circumstances. To solve the problem, a novel feature is proposed in this paper based on power normalized cepstral coefficients (PNCC). In the new feature, multitaper method and compressive gammachirp filter-bank (cGCFB) are introduced. Multitaper method provides a better spectrum estimation while cGCFB makes the sub-band power integration more robust. The experiments shows that with a suitable configuration, the improved multitaper PNCC (imPNCC) outperforms the original PNCC under both clean and noisy conditions, and achieves the best overall results on NIST 2008 and 2010 SRE database compared to PLP and PNCC.
  • Keywords
    cepstral analysis; channel bank filters; speaker recognition; SRE database; cGCFB; compressive gammachirp filter-bank; imPNCC; improved multitaper PNCC feature; noisy conditions; power normalized cepstral coefficients; robust speaker verification; spectrum estimation; subband power integration; Databases; Estimation; Feature extraction; NIST; Noise; Robustness; Speech; Robust feature; compressive gammachirp filter-bank; imPNCC; multitaper method; speaker verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Spoken Language Processing (ISCSLP), 2014 9th International Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/ISCSLP.2014.6936721
  • Filename
    6936721