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Automatic Speech Recognition

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Cover of 'Automatic Speech Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Gaussian Mixture Models
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    Chapter 3 Hidden Markov Models and the Variants
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    Chapter 4 Deep Neural Networks
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    Chapter 5 Advanced Model Initialization Techniques
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    Chapter 6 Deep Neural Network-Hidden Markov Model Hybrid Systems
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    Chapter 7 Training and Decoding Speedup
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    Chapter 8 Deep Neural Network Sequence-Discriminative Training
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    Chapter 9 Feature Representation Learning in Deep Neural Networks
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    Chapter 10 Fuse Deep Neural Network and Gaussian Mixture Model Systems
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    Chapter 11 Adaptation of Deep Neural Networks
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    Chapter 12 Representation Sharing and Transfer in Deep Neural Networks
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    Chapter 13 Recurrent Neural Networks and Related Models
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    Chapter 14 Computational Network
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    Chapter 15 Summary and Future Directions
Attention for Chapter 9: Feature Representation Learning in Deep Neural Networks
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