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Hierarchical Neural Network Structures for Phoneme Recognition

Produktform: Buch / Einband - fest (Hardcover)

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-642-34424-4 / 978-3642344244 / 9783642344244

Verlag: Springer Berlin

Erscheinungsdatum: 18.10.2012

Seiten: 134

Auflage: 1

Autor(en): Wolfgang Minker, Rainer Gruhn, Daniel Vasquez

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