Automatic Speech Recognition

A Deep Learning Approach

Häftad, Engelska, 2016

AvDong Yu,Li Deng

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This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants.

Produktinformation

Utgivningsdatum2016-09-10
Mått155 x 235 x 19 mm
Vikt528 g
FormatHäftad
SpråkEngelska
SerieSignals and Communication Technology
Antal sidor321
FörlagSpringer London Ltd
ISBN9781447169673

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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.