Hierarchical Neural Network Structures for Phoneme Recognition PDF
by Daniel Vasquez, Rainer Gruhn, Wolfgang Minker
Part of the Signals and Communication Technology series
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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
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer Berlin Heidelberg
- Publication Date:17/10/2012
- Category:
- ISBN:9783642344251
Other Formats
- Hardback from £95.55
- Paperback / softback from £69.79
Information
-
Download - Immediately Available
- Format:PDF
- Publisher:Springer Berlin Heidelberg
- Publication Date:17/10/2012
- Category:
- ISBN:9783642344251
