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vasquez daniel; gruhn rainer; minker wolfgang - hierarchical neural network structures for phoneme recognition

Hierarchical Neural Network Structures for Phoneme Recognition

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 11/2014
Edizione: 2013





Trama

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.




Sommario

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.










Altre Informazioni

ISBN:

9783642432101

Condizione: Nuovo
Collana: Signals and Communication Technology
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XVIII, 134 p.
Pagine Arabe: 134
Pagine Romane: xviii


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