New Era for Robust Speech Recognition, Shinji Watanabe; Marc Delcroix; Florian Metze; Joh
Автор: Dorothea Kolossa; Reinhold Haeb-Umbach Название: Robust Speech Recognition of Uncertain or Missing Data ISBN: 3642438687 ISBN-13(EAN): 9783642438684 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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: Ankit Chaudhary Название: Robust Hand Gesture Recognition for Robotic Hand Control ISBN: 9811047979 ISBN-13(EAN): 9789811047978 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Dong Yu; Li Deng Название: Automatic Speech Recognition ISBN: 1447157788 ISBN-13(EAN): 9781447157786 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Mohamed Elmahdy; Rainer Gruhn; Wolfgang Minker Название: Novel Techniques for Dialectal Arabic Speech Recognition ISBN: 1489999450 ISBN-13(EAN): 9781489999450 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Amy Neustein Название: Advances in Speech Recognition ISBN: 1489991239 ISBN-13(EAN): 9781489991232 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents a comprehensive and in depth analysis of the progress of speech technology in the topical areas of mobile settings, healthcare and call centers. It addresses the technical aspects of voice technology within the framework of societal needs.
Автор: Dong Yu; Li Deng Название: Automatic Speech Recognition ISBN: 1447169670 ISBN-13(EAN): 9781447169673 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Pietro Laface; Renato DeMori Название: Speech Recognition and Understanding ISBN: 3642766285 ISBN-13(EAN): 9783642766282 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced "Study Institute on Speech Recognition and Understanding. Recent Advances, Trends and Applications" held in Cetraro, Italy, July 1-13, 1990
Автор: Antonio J. Rubio Ayuso; Juan M. Lopez Soler Название: Speech Recognition and Coding ISBN: 3642633447 ISBN-13(EAN): 9783642633447 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the NATO Advanced Study Institute on New Advances and Trends in Speech Recognition and Coding, held in Bubion, Granada, Spain, June 28 - July 10, 1993
Автор: Sakriani Sakti; Konstantin Markov; Satoshi Nakamur Название: Incorporating Knowledge Sources into Statistical Speech Recognition ISBN: 1441946764 ISBN-13(EAN): 9781441946768 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru