Hierarchical Neural Network Structures for Phoneme Recognition e-bog
875,33 DKK
(inkl. moms 1094,16 DKK)
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, ...
E-bog
875,33 DKK
Forlag
Springer
Udgivet
17 oktober 2012
Genrer
Electronics engineering
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9783642344251
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.