Robust Speech Recognition of Uncertain or Missing Data, Dorothea Kolossa; Reinhold Haeb-Umbach

Автор: Shinji Watanabe; Marc Delcroix; Florian Metze; Joh
Название: New Era for Robust Speech Recognition
ISBN: 3319646796 ISBN-13(EAN): 9783319646794
Издательство: Springer
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Цена: 20962.00 р.
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Описание: It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria.

Автор: Jean-Claude Junqua
Название: Robust Speech Recognition in Embedded Systems and PC Applications
ISBN: 1475773404 ISBN-13(EAN): 9781475773408
Издательство: Springer
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Цена: 13974.00 р.
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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: 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: Sakriani Sakti; Konstantin Markov; Satoshi Nakamur
Название: Incorporating Knowledge Sources into Statistical Speech Recognition
ISBN: 1441946764 ISBN-13(EAN): 9781441946768
Издательство: Springer
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Цена: 19589.00 р.
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Описание: The authors address the problem of developing efficient automatic speech recognition systems that maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training manageable and improving speech recognition performance.

Автор: K. Sreenivasa Rao; Shashidhar G. Koolagudi
Название: Robust Emotion Recognition using Spectral and Prosodic Features
ISBN: 1461463599 ISBN-13(EAN): 9781461463597
Издательство: Springer
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Цена: 9141.00 р.
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Описание: In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.

Автор: K. Church
Название: Phonological Parsing in Speech Recognition
ISBN: 146129200X ISBN-13(EAN): 9781461292005
Издательство: Springer
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Цена: 15672.00 р.
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Описание: is typically realized with a heavily aspirated strong burst at the beginning of a syllable as in the word Tom, but without a burst at the end of a syllable in a word like cat. schwa vowels could be the first vowel in a word like `about` or the surface realization of almost any English vowel appearing in a sufficiently destressed word.

Автор: K. Sreenivasa Rao; Sourjya Sarkar
Название: Robust Speaker Recognition in Noisy Environments
ISBN: 3319071297 ISBN-13(EAN): 9783319071299
Издательство: Springer
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Цена: 9141.00 р.
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Автор: K. Sreenivasa Rao; Manjunath K E
Название: Speech Recognition Using Articulatory and Excitation Source Features
ISBN: 3319492195 ISBN-13(EAN): 9783319492193
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Each chapter provides the motivation for exploring the specific feature for SR task, discusses the methods to extract those features, and finally suggests appropriate models to capture the sound unit specific knowledge from the proposed features.

Автор: Mohamed Elmahdy; Rainer Gruhn; Wolfgang Minker
Название: Novel Techniques for Dialectal Arabic Speech Recognition
ISBN: 1489999450 ISBN-13(EAN): 9781489999450
Издательство: Springer
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Цена: 15672.00 р.
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Описание: As speech resources for dialectal Arabic speech recognition are very sparse, this book will be widely welcomed, using Egyptian colloquial Arabic (ECA) as a typical dialect and providing a high-quality ECA speech corpus with accurate phonetic transcription.

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: Ankit Chaudhary
Название: Robust Hand Gesture Recognition for Robotic Hand Control
ISBN: 9811047979 ISBN-13(EAN): 9789811047978
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator.