Can I read Connectionist Speech Recognition: A Hybrid Approach (The Springer International Series in Engineering and Computer Science (247)) on EtoBox?

Connectionist Speech Recognition: A Hybrid Approach (The Springer International Series in Engineering and Computer Science (247)) by Hervé A. Bourlard; Nelson Morgan is a book available to read on EtoBox.

What is Connectionist Speech Recognition: A Hybrid Approach (The Springer International Series in Engineering and Computer Science (247)) about?

<p><p>connectionist Speech Recognition&#58; A Hybrid Approach Describes The Theory And Implementation Of A Method To Incorporate Neural Network Approaches Into State Of The Art Continuous Speech Recognition Systems Based On Hidden Markov Models (hmms) To Improve Their Performance. In This Framework, Neural Networks (and In Particular, Multilayer Perceptrons Or Mlps) Have Been Restricted To Well-defined Subtasks Of The Whole System, I.e. Hmm Emission Probability Estimation And Feature Extraction. <br> The Book Describes A Successful Five-year International Collaboration Between The Authors. The Lessons Learned Form A Case Study That Demonstrates How Hybrid Systems Can Be Developed To Combine Neural Networks With More Traditional Statistical Approaches. The Book Illustrates Both The Advantages And Limitations Of Neural Networks In The Framework Of A Statistical Systems. <br> Using Standard Databases And Comparison With Some Conventional Approaches, It Is Shown That Mlp Probability Estimation Can Improve Recognition Performance. Other Approaches Are Discussed, Though There Is No Such Unequivocal Experimental Result For These Methods. <br> Connectionist Speech Recognition Is Of Use To

Author

Hervé A. Bourlard; Nelson Morgan

Publisher

Springer

Published

2012

Language

EN

ISBN

9781461364092

Subjects

Science, Technology, Engineering