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Hierarchical Neural Network Structures for Phoneme Recognition
Vasquez, Daniel; Gruhn, Rainer E.; Minker, Wolfgang
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Description for Hierarchical Neural Network Structures for Phoneme Recognition
Hardback. The subject of this study is the role of hierarchical structures, based on neural networks, in identifying phonemes in automated speech recognition systems. It shows how the artificial neural network paradigm can simplify the analysis of spoken language. Series: Signals and Communication Technology. Num Pages: 134 pages, biography. BIC Classification: TTBM; UYQ; UYQL; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 397.
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.
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.
Product Details
Format
Hardback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
134
Condition
New
Series
Signals and Communication Technology
Number of Pages
134
Place of Publication
Berlin, Germany
ISBN
9783642344244
SKU
V9783642344244
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Hierarchical Neural Network Structures for Phoneme Recognition
From the reviews: “This brief book comes packed with useful information about some novel techniques for the recognition of speech building blocks known as phonemes. … it is brimming with useful and well-presented information. I recommend it for graduate students in the field, as well as for practicing professionals.” (Vladimir Botchev, Computing Reviews, May, 2013)