• DocumentCode
    431222
  • Title

    An Auto-Regressive, Non-Stationary Excited Signal Parameter Estimation Method and an Evaluation of a Singing-Voice Recognition

  • Author

    Sasou, Akira ; Goto, Masataka ; Hayamizu, Satoru ; Tanaka, Kazuyo

  • Author_Institution
    Nat. Inst. of Adv. Ind. Sci. & Technol., Japan
  • Volume
    1
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    237
  • Lastpage
    240
  • Keywords
    autoregressive processes; feature extraction; hidden Markov models; iterative methods; parameter estimation; speech recognition; articulatory system characteristics; auto-regressive hidden Markov model; high-pitched speech; iterative AR-HMM parameter estimation method; nonstationary excitation model; nonstationary excited signal parameter estimation; recognition accuracy; singing voice feature extraction; singing-voice recognition; Feature extraction; Hidden Markov models; Information science; Libraries; Mel frequency cepstral coefficient; Parameter estimation; Signal analysis; Signal resolution; Speech analysis; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415094
  • Filename
    1415094
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431222