Автор: Sabu M. Thampi; Alexander Gelbukh; Jayanta Mukhopa Название: Advances in Signal Processing and Intelligent Recognition Systems ISBN: 3319049593 ISBN-13(EAN): 9783319049595 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India.
Автор: K. Church Название: Phonological Parsing in Speech Recognition ISBN: 146129200X ISBN-13(EAN): 9781461292005 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Sabu M. Thampi; Sanghamitra Bandyopadhyay; Sri Kri Название: Advances in Signal Processing and Intelligent Recognition Systems ISBN: 3319286560 ISBN-13(EAN): 9783319286563 Издательство: Springer Рейтинг: Цена: 36570.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Edited Volumecontains a selection of refereed and revised papers originally presented at thesecond International Symposium on Signal Processing and Intelligent RecognitionSystems (SIRS-2015), December 16-19, 2015, Trivandrum, India.
Автор: Sabu M. Thampi; Sri Krishnan; Juan Manuel Corchado Название: Advances in Signal Processing and Intelligent Recognition Systems ISBN: 3319679333 ISBN-13(EAN): 9783319679334 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Edited Volume gathers a selection of refereed and revised papers originally presented at the Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS`17), held on September 13-16, 2017 in Manipal, India.
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 Рейтинг: Цена: 36570.00 р. 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.
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: 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.
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: Shinji Watanabe; Marc Delcroix; Florian Metze; Joh Название: New Era for Robust Speech Recognition ISBN: 3319646796 ISBN-13(EAN): 9783319646794 Издательство: Springer Рейтинг: Цена: 20962.00 р. 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: 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.
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.
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