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: Robustness in Automatic Speech Recognition
    sub title: Fundamentals and Applications
  name:
    name part: Junqua, Jean-Claude.
    role:
      role term: creator
  name:
    name part: Haton, Jean-Paul.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: mau
    date issued: 1996
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (476 pages)
  abstract: The domain of speech processing has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how this technology will transform our future. One important problem is to improve robustness of speech processing under adverse conditions, which is the subject of this book. Robust speech processing is a relatively new area which became a concern as technology started moving from laboratory to field applications. A method or an algorithm is robust if it can deal with a broad range of applications and adapt to unknown conditions. Robustness in Automatic Speech Recognition addresses all of the fundamental problems and issues in the area. The book is divided into three parts. The first provides the background necessary for understanding the rest of the material. It also emphasizes the problems of speech production and perception in noise along with popular techniques used in speech analysis and automatic speech recognition. Part Two discusses the problems relevant to robustness in automatic speech recognition and speech-based applications. It emphasizes intra- and inter-speaker variability as well as automatic speech recognition of Lombard, noisy and channel distorted speech. Finally, the third part covers recent advances in the field of robust automatic speech recognition. Audience: An invaluable reference. May be used as a text for advanced courses on the subject.
  note: by Jean-Claude Junqua, Jean-Paul Haton.
  note: Electronic resource.
  subject:
    topic: Engineering
  subject:
    topic: Computer engineering
  subject:
    topic: Computer engineering
  subject:
    topic: Engineering
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Kluwer international series in engineering and computer science. 341
      part name: VLSI, computer architecture, and digital signal processing
  identifier: 9781461312970 (electronic bk.)
  identifier: 1461312973 (electronic bk.)
  identifier: 9781461285557
  identifier: 1461285550
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422155053.3
    record identifier: in00003571996
    language of cataloging:
      language term: eng