Automatic Speech Recognition: A Deep Learning Approach

By Li Deng and Dong Yu

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.

• Format: Hardcover
• Language: English
• ISBN: 1447157788
• ISBN13: 9781447157786
• Release Date: November 2014
• Publisher: Springer
• Length: 321 Pages
• Weight: 1.50 lbs.
• Dimensions: 0.8" x 6.1" x 9.2"