Hierarchical Neural Network Structures for Phoneme Recognition
Daniel Vasquez, Rainer Gruhn, Wolfgang Minker (auth.)
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.
Catégories:
Année:
2013
Edition:
1
Editeur::
Springer-Verlag Berlin Heidelberg
Langue:
english
Pages:
134
ISBN 10:
3642344259
ISBN 13:
9783642344251
Collection:
Signals and Communication Technology
Fichier:
PDF, 2.59 MB
IPFS:
,
english, 2013
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