Neural Networks for Speech and Sequence Recognition
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Word Count
41,750 words, Guess
Page Count
167 pages
Physical Format
Hardcover
Identifiers
- Open LibraryOL11919553M
- ISBN-139781850321705
- ISBN-101850321701
- OCLC Control Number34259075
- LibraryThing6640039
Description
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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