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Bibliographic Detail
Publisher
Springer Verlag
Publication date
October 18, 2012
Pages
132
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9783642344244
ISBN-10
3642344240
Dimensions
0.25 by 6.25 by 9.25 in.
Weight
0.75 lbs.
Original list price
$149.00
Other format details
sci/tech
Summaries and Reviews
Amazon.com description: Product Description: 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.
Editions
Hardcover
The price comparison is for this edition
With Rainer Gruhn, Daniel Vasquez |
from Springer Verlag (October 18, 2012)
9783642344244 | details & prices | 132 pages | 6.25 × 9.25 × 0.25 in. | 0.75 lbs | List price $149.00
About: In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition.
About: In this book, hierarchical structures based on neural networks are investigated for automatic speech recognition.
Paperback
With Rainer Gruhn, Daniel Vasquez |
from Springer Verlag (November 9, 2014)
9783642432101 | details & prices | List price $149.00
About: The subject of this study is the role of hierarchical structures, based on neural networks, in identifying phonemes in automated speech recognition systems.
About: The subject of this study is the role of hierarchical structures, based on neural networks, in identifying phonemes in automated speech recognition systems.
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