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Automatic Speech and Speaker Recognition

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Cover of 'Automatic Speech and Speaker Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview of Automatic Speech Recognition
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    Chapter 2 An Overview of Speaker Recognition Technology
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    Chapter 3 Maximum Mutual Information Estimation of Hidden Markov Models
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    Chapter 4 Bayesian Adaptive Learning and Map Estimation of HMM
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    Chapter 5 Statistical and Discriminative Methods for Speech Recognition
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    Chapter 6 Context-Dependent Vector Clustering for Speech Recognition
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    Chapter 7 Hidden Markov Network for Precise and Robust Acoustic Modeling
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    Chapter 8 From HMMS to Segment Models: Stochastic Modeling for CSR
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    Chapter 9 Voice Identification Using Nonparametric Density Matching
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    Chapter 10 The Use of Recurrent Neural Networks in Continuous Speech Recognition
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    Chapter 11 Hybrid Connectionist Models For Continuous Speech Recognition
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    Chapter 12 Automatic Generation of Detailed Pronunciation Lexicons
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    Chapter 13 Word Spotting from Continuous Speech Utterances
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    Chapter 14 Spectral Dynamics for Speech Recognition Under Adverse Conditions
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    Chapter 15 Signal Processing for Robust Speech Recognition
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    Chapter 16 Dynamic Programming Search Strategies: From Digit Strings to Large Vocabulary Word Graphs
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    Chapter 17 Fast Match Techniques
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    Chapter 18 Multiple-Pass Search Strategies
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    Chapter 19 Issues in Practical Large Vocabulary Isolated Word Recognition: The IBM Tangora System
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    Chapter 20 From Sphinx-II to Whisper — Making Speech Recognition Usable
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2 Wikipedia pages

Citations

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98 Dimensions

Readers on

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49 Mendeley
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Title
Automatic Speech and Speaker Recognition
Published by
Springer US, December 2012
DOI 10.1007/978-1-4613-1367-0
ISBNs
978-1-4612-8590-8, 978-1-4613-1367-0
Editors

Lee, Chin-Hui, Soong, Frank K., Paliwal, Kuldip K.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 4%
Portugal 1 2%
Slovakia 1 2%
Sweden 1 2%
Brazil 1 2%
Argentina 1 2%
Canada 1 2%
Unknown 41 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 11 22%
Student > Bachelor 7 14%
Researcher 5 10%
Student > Doctoral Student 4 8%
Other 11 22%
Readers by discipline Count As %
Computer Science 22 45%
Engineering 15 31%
Unspecified 3 6%
Linguistics 2 4%
Business, Management and Accounting 2 4%
Other 5 10%