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| Artikel-Nr.: 5667A-9783642344244 Herst.-Nr.: 9783642344244 EAN/GTIN: 9783642344244 |
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| 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. Weitere Informationen: | | Author: | Daniel Vasquez; Rainer Gruhn; Wolfgang Minker | Verlag: | Springer Berlin | Sprache: | eng |
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| Weitere Suchbegriffe: allgemeine technikbücher - englischsprachig, Artificial Neural Network, HMM/ANN, Hybrid Hidden Markov Model, Multilayered Perceptron MLP, TIMIT database, articulatory attributes, phoneme recognition, phonetic decoder, phonotactics, spoken language dialogue systems |
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