• DocumentCode
    1807800
  • Title

    Teager energy mel cepstrum for identification of twins in Marathi

  • Author

    Patil, Hemant A. ; Basu, T.K.

  • Author_Institution
    Dept. of Electr. Eng., IIT, Kharagpur, India
  • fYear
    2004
  • fDate
    20-22 Dec. 2004
  • Firstpage
    58
  • Lastpage
    61
  • Abstract
    In this paper, a new feature set T-MFCC amalgamating Teager energy operator (TEO) and mel frequency cepstral coefficients (MFCC) is developed. The effectiveness of the newly derived feature set is demonstrated for the identification of twins in Marathi. The results are also compared with linear prediction cepstral coefficients (LPCC) for polynomial classifier of 3rd order approximation.
  • Keywords
    cepstral analysis; feature extraction; natural languages; polynomial approximation; signal classification; speaker recognition; 3rd order approximation; Marathi; Mel cepstrum; Mel frequency cepstral coefficient; T-MFCC amalgamation; TEO; Teager energy operator; feature set; polynomial classifier; twin identification; Automatic speech recognition; Cepstral analysis; Cepstrum; Immune system; Mel frequency cepstral coefficient; Microphones; Polynomials; Speaker recognition; Spectrogram; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Annual Conference, 2004. Proceedings of the IEEE INDICON 2004. First
  • Print_ISBN
    0-7803-8909-3
  • Type

    conf

  • DOI
    10.1109/INDICO.2004.1497705
  • Filename
    1497705
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1807800