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Hierarchical Neural Network Structures for Phoneme Recognition
Daniel Vasquez
Rainer Gruhn
Wolfgang Minker
出版
Springer Science & Business Media
, 2012-10-18
主題
Technology & Engineering / Electronics / General
Computers / User Interfaces
Computers / Intelligence (AI) & Semantics
Computers / Natural Language Processing
Technology & Engineering / Imaging Systems
Technology & Engineering / Electrical
ISBN
3642344240
9783642344244
URL
http://books.google.com.hk/books?id=IRiaUn0K8lcC&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.