rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Adaptive predictive coding of speech using trellis coded vector quantization
  name:
    name part: Malone, Kevin Thomas
    name part: 1960-
    role:
      role term: creator
  name:
    name part: Fischer, Thomas R.
    role:
      role term: degree supervisor.
  name:
    name part: Cantrell, Pierce E.
    role:
      role term: degree committee member.
  name:
    name part: Dahm, P. Fred
    role:
      role term: degree committee member.
  name:
    name part: Gibson, Jerry D.
    role:
      role term: degree committee member.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: xx
    date issued: 1989
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xii, 134 leaves : illustrations ; 29 cm
  abstract: Adaptive predictive coding (APC) and trellis coded vector quantization (TCVQ) are combined to form an efficient medium-to-low bit rate speech coding system. The resulting system is called APC-TCVQ. Simulation results are presented for encoding rates of 16 and 9.6 kbits per second (kbps). For an encoding rate of 16 kbps, the perceptual quality of the reconstructed speech was judged as excellent communications quality. The quality of the 9.6 kbps APC-TCVQ reconstruction is clear and of very good quality. Signal-to-noise ratios (SNR's) and segmental SNR's as high as 24.4 and 23.77 dB, respectively, were obtained at an encoding rate of 16 kbps. The APC-TCVQ system presented in this dissertation uses both formant and pitch prediction to remove the short-term and long-term redundancy in the speech data. The predictors are updated using forward adaptation methods. Simulations involving prediction gains are used to select the formant predictor order and frame size. Several methods of efficiently encoding the formant predictor coefficients were examined. A vector predictive trellis coded quantization (TCQ) scheme operating on the line spectrum pair (LSP) parameters is developed. The performance of the LSP TCQ encoder is comparable to that of other LSP coders in the literature. A distortion rate bound for particular speech segment is estimated using a Gauss-Markov model. Comparisons are made between the distortion bounds and the performance of the APC-TCVQ systems for two encoding rates. The results of simulations involving channel errors are presented for several error probabilities. The APC-TCVQ system is shown to be equivalent to the efficient code-excited linear prediction (CELP) coder under certain conditions.
  note: by Kevin Thomas Malone.
  note: Typescript (photocopy).
  note: Vita.
  note: "Major subject: Electrical engineering."
  note: Ph. D. Texas A & M University 1989
  note: Includes bibliographical references.
  subject:
    topic: Coding theory
  subject:
    topic: Data compression (Computer science)
  subject:
    topic: Speech
    topic: Research
  subject:
    topic: Coding theory
  subject:
    topic: Data compression (Computer science)
  subject:
    topic: Speech
    topic: Research
  subject:
    topic: Electrical Engineering
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 910122
    record change date: 20200904152445.0
    record identifier: in00000984639
    language of cataloging:
      language term: eng