Hierarchical Neural Network Structures for Phoneme Recognition Hardback
by Daniel Vasquez, Rainer Gruhn, Wolfgang Minker
Part of the Signals and Communication Technology series
Hardback
Description
In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition.
These structures are mainly evaluated within the phoneme recognition task under the Hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) paradigm.
The baseline hierarchical scheme consists of two levels each which is based on a Multilayered Perceptron (MLP).
Additionally, the output of the first level is used as an input for the second level.
This system can be substantially speeded up by removing the redundant information contained at the output of the first level.
Information
-
Item not Available
- Format:Hardback
- Pages:134 pages, XVIII, 134 p.
- Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date:18/10/2012
- Category:
- ISBN:9783642344244
Other Formats
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- Paperback / softback from £69.79
Information
-
Item not Available
- Format:Hardback
- Pages:134 pages, XVIII, 134 p.
- Publisher:Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date:18/10/2012
- Category:
- ISBN:9783642344244