Hierarchical Neural Network Structures for Phoneme Recognition is popular PDF and ePub book, written by Daniel Vasquez in 2012-10-18, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Hierarchical Neural Network Structures for Phoneme Recognition can be Read Online from any device for your convenience.
Hierarchical Neural Network Structures for Phoneme Recognition Book PDF Summary
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.
Detail Book of Hierarchical Neural Network Structures for Phoneme Recognition PDF
- Author : Daniel Vasquez
- Release : 18 October 2012
- Publisher : Springer
- ISBN : 3642344267
- Genre : Technology & Engineering
- Total Page : 134 pages
- Language : English
- PDF File Size : 9,7 Mb
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