Hierarchical Neural Network Structures for Phoneme Recognition
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ISBN-13:
9783642344244
Veröffentl:
2012
Einband:
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Erscheinungsdatum:
18.10.2012
Seiten:
152
Autor:
Daniel Vasquez
Gewicht:
401 g
Format:
241x160x13 mm
Serie:
Signals and Communication Technology
Sprache:
Englisch
Beschreibung:
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.
Simplifies the analysis in spoken language dialogue systems
Background in Speech Recognition.- Phoneme Recognition Task.- Hierarchical Approach and Downsampling Schemes.- Extending the Hierarchical Scheme: Inter and Intra Phonetic Information.- Theoretical framework for phoneme recognition analysis.
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