02029cam a22003134a 4500 157 157 13365864 OSt 20190820110239.0 031007s2004 nyua b 000 0 eng 2003065729 0387203265 (alk. paper) DLC DLC DLC pcc TK7882.S65 .M38 2004 006.454 JOH 23 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 Includes bibliographical references. 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. Speech processing systems Mathematical models. Johnson, Mark Edward, 1970- Publisher description http://www.loc.gov/catdir/enhancements/fy0818/2003065729-d.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0818/2003065729-t.html 7 cbc orignew 1 ocip 20 y-gencatlg ddc STS 0 0 ddc 0 0 3/5 AIISH AIISH 2019-08-20 0 006.454 JOH 13698 2019-08-20 00:00:00 2019-08-20 STS