Neural Networks for Speech and Sequence Recognition

Front Cover
International Thomson Computer Press, 1996 - Computers - 167 pages
Sequence recognition is a crucial element in many applications in the fields of speech analysis and recognition, time-series prediction, control and signal monitoring. This book applies the techniques of neural networks and hidden Markov models to problems of pattern and speech recognition, using real-world examples throughout. Highlights include the incorporation of domain knowledge with learning from examples, the description of contemporary advances such as recurrent neural networks, hybrids with hidden Markov models, and a thorough but straightforward use of mathematics. Neural Networks for Speech and Sequence Recognition will prove valuable to researchers and graduate students alike.

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Contents

The BackPropagation Algorithm
8
Integrating Domain Knowledge and Learning from Examples
37
Sequence Analysis
57
Copyright

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