Mathematical foundations of speech and language processing / 
Mark Johnson ... [et al.], editors. 
 - New York :  Springer,  c2004. 
 - x, 286 p. :  ill. ;  25 cm. 
 - IMA volumes in mathematics and its applications ;  v. 138 .
<br/><br/>Includes bibliographical references. 
<br/><br/>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.  
<br/><br/><label>ISBN: </label>0387203265 (alk. paper) 
<br/><br/><label>LCCN: </label>2003065729 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Speech processing systems--Mathematical models.
<br/><br/><label>LC Class. No.: </label>TK7882.S65  / .M38 2004 
<br/><br/><label>Dewey Class. No.: </label>006.454 JOH