Handbook of Neural Networks for Speech Processing
Published on 1. October 2000
Book
Hardback
541 pages
978-0-89006-954-7 (ISBN)
Description
Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.
More details
Edition
Unabridged edition
Language
English
Place of publication
Norwood
United States
Target group
College/higher education
Professional and scholarly
Edition type
Unabridged edition
Dimensions
Height: 152 mm
Width: 229 mm
ISBN-13
978-0-89006-954-7 (9780890069547)
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Schweitzer Classification
Content
Introduction. Speech Signal and Its Production Model. Speech Recognition. Speech Coding. Discriminative Prototype-Based Methods for Speech Recognition. Recurrent Neural Networks for Speech Recognition. Time Delay Neural Nets and NN/HMM Hybrids - A Family of Connectionist Continuous Speech Recognition Systems. Probability-Oriented Neural Networks and Hybrid Connectionist/Stochastic Networks. Minimum Classification Error Networks. Networks for Speaker Recognition. Neural Networks for Voice Conversion. Neural Networks for Speech Coding. Networks for Speech Enhancement.