• DocumentCode
    310674
  • Title

    Efficient mixed excitation models in LPC based prototype interpolation speech coders

  • Author

    Papanastasiou, Charalampos ; Xydeas, Costas S.

  • Author_Institution
    Speech Process. Res. Lab., Manchester Univ., UK
  • Volume
    2
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    1555
  • Abstract
    This paper presents a new and efficient method for modeling voiced, mixed excitation spectra in sinusoidal (SC) and prototype interpolation coding (PIC) systems. Speech harmonics are classified as “weak-voiced” or “strong-voiced” by simply examining the short-term residual magnitude spectrum. This information is encoded effectively in terms of fixed width frequency bands and is used to control sets of periodic and random sine wave oscillators which model the short-term mixed excitation nature of speech. In this way the model allows the mixing of periodic and random signal energy on a harmonic basis. The proposed methodology has been used in a 2.4 Kbits/sec speech coder, whose recovered speech quality is better than that of the 4.8 Kbits/sec DoD standard
  • Keywords
    harmonics; interpolation; linear predictive coding; spectral analysis; vocoders; 2.4 Kbit/s; LPC based prototype interpolation speech coders; efficient mixed excitation models; encoding; fixed width frequency bands; modeling; periodic signal energy; prototype interpolation coding; random signal energy; short-term residual magnitude spectrum; sine wave oscillators; sinusoidal coding; speech harmonics; Equations; Frequency; Interpolation; Linear predictive coding; Prototypes; Signal processing; Signal synthesis; Speech codecs; Speech processing; Speech synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.596248
  • Filename
    596248