Neural Networks for Speech and Sequence Recognition

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.

שנה

1996

שפה

English

הוצאה

Itp New Media

מהדורות

1

עמודים

167

ISBN

9781850321705

מקור הנתונים: Wikidata