text nyu 2014 monographic eng

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pages cm Section 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. 006.454 YUD;1 9781447157786 2014951663 http://www.loc.gov/catdir/enhancements/fy1501/2014951663-d.html http://www.loc.gov/catdir/enhancements/fy1501/2014951663-t.html http://www.loc.gov/catdir/enhancements/fy1501/2014951663-d.html http://www.loc.gov/catdir/enhancements/fy1501/2014951663-t.html DLC 140918 20190819120939.0 18307018 eng