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  <titleInfo>
    <title>Mathematical foundations of speech and language processing</title>
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  <name type="personal">
    <namePart>Johnson, Mark Edward</namePart>
    <namePart type="date">1970-</namePart>
  </name>
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    <place>
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    <publisher>Springer</publisher>
    <dateIssued>c2004</dateIssued>
    <dateIssued encoding="marc">2004</dateIssued>
    <issuance>monographic</issuance>
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    <extent>x, 286 p. : ill. ; 25 cm.</extent>
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  <tableOfContents>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 methods.- Semiparametric filtering in speech processing.- List of workshop participants. </tableOfContents>
  <note type="statement of responsibility">Mark Johnson ... [et al.], editors.</note>
  <note>Includes bibliographical references.</note>
  <subject authority="lcsh">
    <topic>Speech processing systems</topic>
    <topic>Mathematical models</topic>
  </subject>
  <classification authority="lcc">TK7882.S65 .M38 2004</classification>
  <classification authority="ddc" edition="23">006.454 JOH</classification>
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      <title>IMA volumes in mathematics and its applications ; v. 138</title>
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  <identifier type="isbn">0387203265 (alk. paper)</identifier>
  <identifier type="lccn">2003065729</identifier>
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