000			01690cam a22003015i 4500
999			_c74 _d74
001			18307018
003			OSt
005			20190819120939.0
008			140918s2014 nyu 000 0 eng
010			_a 2014951663
020			_a9781447157786
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
082			_a006.454 YUD;1
245	0	0	_aAutomatic speech recognition.
263			_a1411
264		1	_aNew York : _bSpringer, _c2014.
300			_apages cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
505			_aSection 1: Automatic speech recognition: Background.- Feature extraction: basic frontend.- Acoustic model: Gaussian mixture hidden Markov model.- Language model: stochastic N-gram.- Historical reviews of speech recognition research: 1st, 2nd, 3rd, 3.5th, and 4th generations.- Section 2: Advanced feature extraction and transformation.- Unsupervised feature extraction.- Discriminative feature transformation.- Section 3: Advanced acoustic modeling.- Conditional random field (CRF) and hidden conditional random field (HCRF).- Deep-Structured CRF.- Semi-Markov conditional random field.- Deep stacking models.- Deep neural network - hidden Markov hybrid model.- Section 4: Advanced language modeling.- Discriminative Language model.- Log-linear language model.- Neural network language model.
856	4	2	_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy1501/2014951663-d.html
856	4	1	_3Table of contents only _uhttp://www.loc.gov/catdir/enhancements/fy1501/2014951663-t.html
906			_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cSTS