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Herausgeber: 
  • Mark Johnson
  • Sanjeev P. Khudanpur
  • Mari Ostendorf
  • Roni Rosenfeld
  • Mathematical Foundations of Speech and Language Processing 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  2004  
    Genre:  Schulbücher 
     
    Applications of Mathematics / Applied mathematics / Automated Pattern Recognition / C / Digital and Analog Signal Processing / Engineering mathematics / Image processing / Information and Communication, Circuits / Information theory / Mathematics and Statistics / Natural language & machine translation / Natural language processing (Computer science) / Natural Language Processing (NLP) / pattern recognition / Signal Processing / Signal, Image and Speech Processing / Speech processing systems
    ISBN:  9780387203263 
    EAN-Code: 
    9780387203263 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #138 - IMA Volumes in Mathematics and its Applications  
    Dimensionen:  H 235 mm / B 155 mm / D 20 mm 
    Gewicht:  1330 gr 
    Seiten:  289 
    Illustration:  X, 289 p., Tabellen, schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    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 the 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.

      



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