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Automatic Speech Recognition

Overview of attention for book
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 4: Deep Neural Networks
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Citations

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Summary Dimensions citations
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Chapter title
Deep Neural Networks
Chapter number 4
Book title
Automatic Speech Recognition
Published by
Springer London, November 2014
DOI 10.1007/978-1-4471-5779-3_4
Book ISBNs
978-1-4471-5778-6, 978-1-4471-5779-3
Authors

Dong Yu, Li Deng

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Morocco 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Bachelor 12 21%
Student > Ph. D. Student 7 12%
Researcher 5 9%
Other 4 7%
Other 9 16%
Unknown 8 14%
Readers by discipline Count As %
Computer Science 22 39%
Engineering 7 12%
Physics and Astronomy 6 11%
Mathematics 4 7%
Business, Management and Accounting 2 4%
Other 7 12%
Unknown 9 16%

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