• DocumentCode
    2148284
  • Title

    OSLP: a new technique in linear prediction of speech

  • Author

    Dhanjal, Surinder

  • Author_Institution
    Dept. of Comput. Sci., Univ. Coll. of the Cariboo, Kamloops, BC, Canada
  • Volume
    2
  • fYear
    1997
  • fDate
    20-22 Aug 1997
  • Firstpage
    711
  • Abstract
    Odd sample linear prediction (OSLP) is a relatively new and efficient technique for analysis/synthesis of speech signals. OSLP is based on the classical theory of linear prediction. The performance of OSLP was further improved by the author. Pitch detection constitutes an important component of this technique. In the work reported so far, the SIFT algorithm, due to Markel and Grey (1976), was used for pitch detection mainly because the SIFT is also based on the classical theory of linear prediction. However, many, virtually dozens of, pitch detection algorithms have been reported in literature. In the work reported in this paper, pitch detection algorithms, other than the SIFT, were employed to investigate if the overall performance of OSLP can be further improved
  • Keywords
    linear predictive coding; signal sampling; speech coding; speech processing; speech synthesis; vocoders; LPC; OSLP; odd sample linear prediction; performance; pitch detection algorithms; speech analysis/synthesis; speech coding; speech signals; vocoders; Bit rate; Detection algorithms; Educational institutions; Encoding; Process design; Signal analysis; Signal synthesis; Speech analysis; Speech processing; Speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-3905-3
  • Type

    conf

  • DOI
    10.1109/PACRIM.1997.620358
  • Filename
    620358