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portada Hierarchical Neural Network Structures for Phoneme Recognition de Rainer Gruhn Daniel Vasquez(Springer)
Type
Physical Book
Publisher
Author
Language
English
Format
Hardcover
ISBN13
9783642344244

Hierarchical Neural Network Structures for Phoneme Recognition de Rainer Gruhn Daniel Vasquez(Springer)

Vasquez Daniel,Gruhn Rainer,Minker Wolfgang (Author) · Springer · Hardcover

Hierarchical Neural Network Structures for Phoneme Recognition de Rainer Gruhn Daniel Vasquez(Springer) - Vasquez Daniel,Gruhn Rainer,Minker Wolfgang

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Synopsis "Hierarchical Neural Network Structures for Phoneme Recognition de Rainer Gruhn Daniel Vasquez(Springer)"

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.

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