Automatic Speech Recognition of Arabic Phonemes with Neural Networks, Dib

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132235150 ISBN-13(EAN): 9788132235156
Издательство: Springer
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Цена: 104480.00 T
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Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Автор: A. Cohen
Название: The Phonemes of English
ISBN: 9024706394 ISBN-13(EAN): 9789024706396
Издательство: Springer
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Цена: 121110.00 T
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Описание: I am particularly thankful for the kindness shown to me by the staffs of the English department of King`s College and of the Phonetics department of University College for the excellent tuition I received from them and for making me feel completely at home among my English fellow students.

Автор: Daniel Vasquez; Rainer Gruhn; Wolfgang Minker
Название: Hierarchical Neural Network Structures for Phoneme Recognition
ISBN: 3642344240 ISBN-13(EAN): 9783642344244
Издательство: Springer
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Цена: 121890.00 T
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Описание: 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.

Автор: Mousmita Sarma; Kandarpa Kumar Sarma
Название: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework
ISBN: 8132218612 ISBN-13(EAN): 9788132218616
Издательство: Springer
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Цена: 121890.00 T
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Описание: The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.

Автор: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Цена: 92930.00 T
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Цена: 51750.00 T
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Автор: Zheng-Hua Tan; Boerge Lindberg
Название: Automatic Speech Recognition on Mobile Devices and over Communication Networks
ISBN: 1849967369 ISBN-13(EAN): 9781849967365
Издательство: Springer
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Цена: 130430.00 T
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Описание: The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks.

Автор: Mary
Название: Extraction of Prosody for Automatic Speaker, Language, Emotion and Speech Recognition
ISBN: 3319911708 ISBN-13(EAN): 9783319911700
Издательство: Springer
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Цена: 55890.00 T
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Описание: This updated book expands upon prosody for recognition applications of speech processing. and presents methods for extraction and representation of prosody for applications such as speaker recognition, language recognition and speech recognition.

Автор: A. Acero
Название: Acoustical and Environmental Robustness in Automatic Speech Recognition
ISBN: 1461363667 ISBN-13(EAN): 9781461363668
Издательство: Springer
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Цена: 130610.00 T
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Описание: The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications.

Автор: Jean-Claude Junqua; Jean-Paul Haton
Название: Robustness in Automatic Speech Recognition
ISBN: 0792396464 ISBN-13(EAN): 9780792396468
Издательство: Springer
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Цена: 200260.00 T
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Описание: Emphasizes the problems of speech production and perception in noise along with popular techniques used in speech analysis and automatic speech recognition. This book discusses the problems relevant to robustness in automatic speech recognition and speech-based applications.

Автор: Chin-Hui Lee; Frank K. Soong; Kuldip K. Paliwal
Название: Automatic Speech and Speaker Recognition
ISBN: 0792397061 ISBN-13(EAN): 9780792397069
Издательство: Springer
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Цена: 243800.00 T
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Описание: This work is divided into five parts: technology overviews; acoustic modelling of fundamental speech units and lexical modelling of words and pronunciations; flexibility and robustness; search; and algorithm and implementational aspects for recognition-system realization.

Автор: Kai-Fu Lee
Название: Automatic Speech Recognition
ISBN: 0898382963 ISBN-13(EAN): 9780898382969
Издательство: Springer
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Цена: 156720.00 T
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Описание: Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science. These include cost, real time response, speaker independence, robustness to variations such as noise, microphone, speech rate and loudness, and the ability to handle non-grammatical speech.