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Automatic Speech Recognition: A Deep Learning Approach

Automatic Speech Recognition: A Deep Learning Approach

Hardcover

Series: Signals and Communication Technology

Technology & EngineeringGeneral Computers

ISBN10: 1447157788
ISBN13: 9781447157786
Publisher: Springer Nature
Published: Nov 28 2014
Pages: 321
Weight: 1.46
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English
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.

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