01553cam a22002535i 450000100090000000300040000900500170001300800410003001000170007102000180008804000280010604200080013408200180014224500340016026300090019426400330020330000130023633600210024933700250027033800230029550507980031885600910111685600920120718307018OSt20190819120939.0140918s2014    nyu           000 0 eng    a  2014951663  a9781447157786  aDLCbengcDLCerdadDLC  apcc  a006.454 YUD;100aAutomatic speech recognition.  a1411 1aNew York :bSpringer,c2014.  apages cm  atext2rdacontent  aunmediated2rdamedia  avolume2rdacarrier  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. 423Publisher descriptionuhttp://www.loc.gov/catdir/enhancements/fy1501/2014951663-d.html413Table of contents onlyuhttp://www.loc.gov/catdir/enhancements/fy1501/2014951663-t.html