| 000 | 02029cam a22003134a 4500 | ||
|---|---|---|---|
| 999 |
_c157 _d157 |
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| 001 | 13365864 | ||
| 003 | OSt | ||
| 005 | 20190820110239.0 | ||
| 008 | 031007s2004 nyua b 000 0 eng | ||
| 010 | _a 2003065729 | ||
| 020 | _a0387203265 (alk. paper) | ||
| 040 |
_aDLC _cDLC _dDLC |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aTK7882.S65 _b.M38 2004 |
| 082 | 0 | 0 |
_a006.454 JOH _223 |
| 245 | 0 | 0 |
_aMathematical foundations of speech and language processing / _cMark Johnson ... [et al.], editors. |
| 260 |
_aNew York : _bSpringer, _cc2004. |
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| 300 |
_ax, 286 p. : _bill. ; _c25 cm. |
||
| 440 | 0 |
_aIMA volumes in mathematics and its applications ; _vv. 138 |
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| 504 | _aIncludes bibliographical references. | ||
| 505 | _aProbability 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. | ||
| 650 | 0 |
_aSpeech processing systems _xMathematical models. |
|
| 700 | 1 |
_aJohnson, Mark Edward, _d1970- |
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| 856 | 4 | 2 |
_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy0818/2003065729-d.html |
| 856 | 4 | 1 |
_3Table of contents only _uhttp://www.loc.gov/catdir/enhancements/fy0818/2003065729-t.html |
| 906 |
_a7 _bcbc _corignew _d1 _eocip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cSTS |
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