Speech Recognition and Coding, Antonio J. Rubio Ayuso; Juan M. Lopez Soler

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: 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: 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: 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: Tokunbo Ogunfunmi; Roberto Togneri; Madihally (Sim
Название: Speech and Audio Processing for Coding, Enhancement and Recognition
ISBN: 1493948040 ISBN-13(EAN): 9781493948048
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas.

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: A. Acero
Название: Acoustical and Environmental Robustness in Automatic Speech Recognition
ISBN: 1461363667 ISBN-13(EAN): 9781461363668
Издательство: Springer
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Цена: 19591.00 р.
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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: 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: Dorothea Kolossa; Reinhold Haeb-Umbach
Название: Robust Speech Recognition of Uncertain or Missing Data
ISBN: 3642438687 ISBN-13(EAN): 9783642438684
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition.

Автор: Kai-Fu Lee
Название: Automatic Speech Recognition
ISBN: 0898382963 ISBN-13(EAN): 9780898382969
Издательство: Springer
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Цена: 23508.00 р.
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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.

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: Yongzhen Huang; Tieniu Tan
Название: Feature Coding for Image Representation and Recognition
ISBN: 3662449994 ISBN-13(EAN): 9783662449998
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This brief presents a comprehensive introduction to feature coding, which serves as a key module for the typical object recognition pipeline.