Автор: Donaj Название: Language Modeling for Automatic Speech Recognition of Inflective Languages ISBN: 3319416057 ISBN-13(EAN): 9783319416052 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Kai-Fu Lee Название: Automatic Speech Recognition ISBN: 1461366240 ISBN-13(EAN): 9781461366249 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Laura Fern?ndez Gallardo Название: Human and Automatic Speaker Recognition over Telecommunication Channels ISBN: 9811013195 ISBN-13(EAN): 9789811013195 Издательство: Springer Рейтинг: Цена: 78350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This work addresses the evaluation of the human and the automatic speaker recognition performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments.
Автор: Shinji Watanabe; Marc Delcroix; Florian Metze; Joh Название: New Era for Robust Speech Recognition ISBN: 3319646796 ISBN-13(EAN): 9783319646794 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: K. Sreenivasa Rao; Manjunath K E Название: Speech Recognition Using Articulatory and Excitation Source Features ISBN: 3319492195 ISBN-13(EAN): 9783319492193 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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 Рейтинг: Цена: 113180.00 T 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.
Автор: Chin-Hui Lee; Frank K. Soong; Kuldip K. Paliwal Название: Automatic Speech and Speaker Recognition ISBN: 1461285909 ISBN-13(EAN): 9781461285908 Издательство: Springer Рейтинг: Цена: 243800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Elsayed Azzouz; A.K. Nandi Название: Automatic Modulation Recognition of Communication Signals ISBN: 1441951660 ISBN-13(EAN): 9781441951663 Издательство: Springer Рейтинг: Цена: 200260.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Automatic modulation recognition is a rapidly evolving area of signal analysis. Automatic Modulation Recognition of Communications Signals is the first comprehensive book on automatic modulation recognition.
Автор: Dong Yu; Li Deng Название: Automatic Speech Recognition ISBN: 1447157788 ISBN-13(EAN): 9781447157786 Издательство: Springer Рейтинг: Цена: 130430.00 T 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: A. Acero Название: Acoustical and Environmental Robustness in Automatic Speech Recognition ISBN: 1461363667 ISBN-13(EAN): 9781461363668 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Sakriani Sakti; Konstantin Markov; Satoshi Nakamur Название: Incorporating Knowledge Sources into Statistical Speech Recognition ISBN: 1441946764 ISBN-13(EAN): 9781441946768 Издательство: Springer Рейтинг: Цена: 130590.00 T 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.
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