Daniel Vasquez,
Rainer Gruhn,
Wolfgang Minker
Hierarchical Neural Network Structures for Phoneme Recognition
Paperback Engels 2014 2013e druk 9783642432101Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783642432101
Taal:Engels
Bindwijze:paperback
Aantal pagina's:134
Uitgever:Springer Berlin Heidelberg
Druk:2013
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Inhoudsopgave
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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