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: Mathematical Foundations of Speech and Language Processing
  name:
    name part: Johnson, Mark.
    role:
      role term: creator
  name:
    name part: Khudanpur, Sanjeev P.
  name:
    name part: Ostendorf, Mari.
  name:
    name part: Rosenfeld, Roni.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2004
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (x, 289 pages)
  abstract: Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information. The workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling were held in the Fall of 2000 at the University of Minnesota's NSF-sponsored Institute for Mathematics and Its Applications, as part of a "Mathematics in Multimedia" year-long program. Each workshop brought together researchers in the respective technologies on one hand, and mathematicians and statisticians on the other hand, for an intensive week of cross-fertilization. There is a long history of benefit from introducing mathematical techniques and ideas to speech and language technologies. Examples include the source-channel paradigm, hidden Markov models, decision trees, exponential models and formal languages theory. It is likely that new mathematical techniques, or novel applications of existing techniques, will once again prove pivotal for moving the field forward. This volume consists of original contributions presented by participants during the two workshops. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.
  table of contents: Probability and statistics in computational linguistics, a brief review -- Three issues in modern language modeling -- Stochastic analysis of Structured Language Modeling -- Latent semantic language modeling for speech recognition -- Prosody modeling for automatic speech recognition and understanding -- Switching dynamic system models for speech articulation and acoustics -- Segmental HMMS: Modeling dynamics and underlying structure in speech -- Modelling graph-based observation spaces for segment-based speech recognition -- Towards robust and adaptive speech recognition models -- Graphical models and automatic speech recognition -- An introduction to Markov chain Monte Carlo method -- Semiparametric filtering in speech processing.
  note: edited by Mark Johnson, Sanjeev P. Khudanpur, Mari Ostendorf, Roni Rosenfeld.
  note: Electronic resource.
  subject:
    topic: Mathematics
  subject:
    topic: Translators (Computer programs)
  subject:
    topic: Optical pattern recognition
  subject:
    topic: Mathematics
  subject:
    topic: Optical pattern recognition
  subject:
    topic: Translators (Computer programs)
  classification: T57-57.97
  classification: 519
  related item:
    title info:
      title: IMA volumes in mathematics and its applications ; 138
  identifier: 9781441990174 (electronic bk.)
  identifier: 1441990178 (electronic bk.)
  identifier: 9781461264842
  identifier: 1461264847
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260422225206.8
    record identifier: in00003574047
    language of cataloging:
      language term: eng