Acoustical and Environmental Robustness in Automatic Speech Recognition, A. Acero

Автор: Hua Lee; Glen Wade
Название: Acoustical Imaging
ISBN: 1461366410 ISBN-13(EAN): 9781461366416
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Proceedings of the 18th International Symposium on Acoustical Imaging, held in Santa Barbara, California, September 18,endash>20, 1989

Автор: Yu Wei; Benli Gu
Название: Acoustical Imaging
ISBN: 1461362865 ISBN-13(EAN): 9781461362869
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Proceedings of the 20th International Symposium held in Nanjing, China, September 12-14, 1992

Автор: Michael P Andre; Joie P. Jones; Hua Lee
Название: Acoustical Imaging
ISBN: 9400738021 ISBN-13(EAN): 9789400738027
Издательство: Springer
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Цена: 30039.00 р.
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Описание: In the course of the years the volumes in the Acoustical Imaging Series have developed to become well-known and appreciated reference works.

Автор: Michael P. Andr?
Название: Acoustical Imaging
ISBN: 9048174341 ISBN-13(EAN): 9789048174348
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Since 1968, the International Acoustical Imaging Symposium has provided a unique forum for advanced research, promoting the sharing of technology, developments, methods and theory among all areas of acoustics.

Автор: Donaj
Название: Language Modeling for Automatic Speech Recognition of Inflective Languages
ISBN: 3319416057 ISBN-13(EAN): 9783319416052
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book covers language modeling and automatic speech recognition for inflective languages (e.g. Slavic languages), which represent roughly half of the languages spoken in Europe. These languages do not perform as well as English in speech recognition systems and it is therefore harder to develop an application with sufficient quality for the end user. The authors describe the most important language features for the development of a speech recognition system. This is then presented through the analysis of errors in the system and the development of language models and their inclusion in speech recognition systems, which specifically address the errors that are relevant for targeted applications. The error analysis is done with regard to morphological characteristics of the word in the recognized sentences. The book is oriented towards speech recognition with large vocabularies and continuous and even spontaneous speech. Today such applications work with a rather small number of languages compared to the number of spoken languages.

Автор: Chin-Hui Lee; Frank K. Soong; Kuldip K. Paliwal
Название: Automatic Speech and Speaker Recognition
ISBN: 1461285909 ISBN-13(EAN): 9781461285908
Издательство: Springer
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Цена: 36570.00 р.
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Описание: Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware.

Автор: Dong Yu; Li Deng
Название: Automatic Speech Recognition
ISBN: 1447157788 ISBN-13(EAN): 9781447157786
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book reviews past and present work on discriminative and hierarchical models for both acoustic and language modeling. It also analyzes the research direction and trends towards establishing future-generation speech recognition.

Автор: Juan Pablo Alegre P?rez; Santiago Celma Pueyo; Bel
Название: Automatic Gain Control
ISBN: 1461430054 ISBN-13(EAN): 9781461430056
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book analyzes automatic gain control (AGC) loop circuits and demonstrates AGC solutions in wireless receivers, mainly in wireless receivers with stringent constraints in settling-time and wide dynamic range, such as WLAN and Bluetooth receivers.

Автор: Louis A. Wehenkel
Название: Automatic Learning Techniques in Power Systems
ISBN: 1461374898 ISBN-13(EAN): 9781461374893
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology.