Hierarchical Neural Network Structures for Phoneme Recognition

Hierarchical Neural Network Structures for Phoneme Recognition

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Nov 9, 2014 · Inglês · Brochura (152 páginas)
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Detalhes do Livro

Formato Brochura
Páginas 152
Idioma Inglês
Publicado Nov 9, 2014
Editora Springer
ISBN-10 3642432107
ISBN-13 9783642432101

Descrição

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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