Диссертация, Helsinki University of Technology, 2006, -122 pp. In order to develop computer applications that successfully process natural language data (text and speech), one needs good models of the vocabulary and grammar of as many languages as possible. According to standard linguistic theory, words consist of morphemes, which are the smallest individually meaningful...
Диссертация, University of Toronto, 2015, -108 pp. The deep learning approach to machine learning emphasizes high-capacity, scalable models that learn distributed representations of their input. This dissertation demonstrates the efficacy and generality of this approach in a series of diverse case studies in speech recognition, computational chemistry, and natural language...
Second edition. — Pearson Prentice Hall, 2009. — 988 p. With contents and search through the book. Speech and Language Processing is a general textbook on natural language processing, with an excellent coverage of the area and an unusually broad scope of topics. It includes statistical and symbolic approaches to NLP, as well as the main methods of speech processing. Regular...
Prentice Hall, 2000. — 934 p. — ISBN: 0130950696, 978-0130950697. This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora. Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the...
Second edition. — Pearson Prentice Hall, 2009. — 988 p. Speech and Language Processing is a general textbook on natural language processing, with an excellent coverage of the area and an unusually broad scope of topics. It includes statistical and symbolic approaches to NLP, as well as the main methods of speech processing. Regular Expressions and Automata Words and Transducers...
Издательство Wiley, 2009, -257 pp. Основные методы и алгоритмы, используемые в современных системах распознавания речи и диктора 1 Foundations Theory and Practice of Support Vector Machines Optimization From Binary Classification to Categorial Prediction 2 Acoustic Modeling A Large Margin Algorithm for Forced Alignment A Kernel Wrapper for Phoneme Sequence Recognition Augmented...
Thesis Presented in Partial Fulfillment for the Degree of Doctor. : 6D070400 — Department of Computer Sciences Faculty of Engineering and Natural Sciences. — Suleyman Demirel University. — Kaskelen: 2021. — 117 p. Supervisor: prof. Amirgaliyev Y.N External supervisor: Head of Department of National University of Ukraine named after T.Shevchenko, prof. Krak Y.V. It should be...
John Wiley, 2005. — 284 p. — ISBN 0-470-84407-8. This monograph was written over the past four years to serve as a text for advanced graduate students in electrical engineering interested in the techniques of automatic speech recognition and text to speech synthesis. However, the book evolved over a considerably longer period for a significantly broader purpose. Since 1972, I...
Proceedings of 18th European Conference on Artificial Intelligence. — Patras, 2008. — 5 p. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-robot interaction, speech recognition performance can be improved by exploiting knowledge about the immediate physical...
Springer, 2014. — 149 p.
Speaker verification (SV) is the process of validating the claimed identity of an individual using his/her speech. State-of-the-art SV systems perform reasonably well when the spoken utterances are ‘clean’, i.e., free from any sort of distortions caused by external factors. However, the accuracy of such systems degrade severely when speech signals are...
Издательство Cambridge University Engineering Department, 1995. -46 pp. Most - if not all - automatic speech recognition systems explicitly or implicitly compute a score (equivalently, distance, probability, etc.) indicating how well a novel utterance matches a model of the hypothesised utterance. A fundamental problem in speech recognition is how this score may be computed,...
Издательство Academic Press, 1986, -326 pp.
The basic problem of understanding how humans perceive information in the constant bombardment of sensory flux is, without question, one of the most difficult problems facing cognitive science. However, understanding perception is critical to developing a complete theoretical account of human information processing because perception...
Диссертация, Helsinki University of Technology, 2006, -86 pp. The language model is one of the key components of a large vocabulary continuous speech recognition system. Huge text corpora can be used for training the language models. In this thesis, methods for extracting the essential information from the training data and expressing the information as a compact model are...
May 1995, School of Computer Science Carnegie Mellon University, Pittsburgh, Pennsylvania This thesis examines how artificial neural networks can benefit a large vocabulary, speaker independent, continuous speech recognition system. Currently, most speech recognition systems are based on hidden Markov models (HMMs), a statistical framework that supports both acoustic and temporal...
Wiley, 2011. — 450 pages. — ISBN: 978-0-470-68824-3. Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning...
United Kingdom, John Wilew & Sons, Ltd. - 2013. - 496 p. Robustness techniques for ASR fall into a number of different categories. This book is divided into five parts, each focusing on a specific category of approaches. A clear understanding of robustness techniques for ASR requires a clear understanding of the principles behind automatic speech recognition and the robustness...
В работе представлены основные принципы построения систем распознавания речи, предварительной обработки исходного сигнала, построения акустических и языковых моделей, рассмотрены подходы к помехоустойчивости систем распознавания и способы оценки качества распознающих систем (2003 год).
Труды международной конференции "Диалог". - Звенигород, 2003. - С. 12 - 19. В данной работе описана серия экспериментов по применению вейвлет анализа для задач распознавания речи. Получены оценки точности распознавания изолированных слов и слитно произносимых последовательностей цифр при использовании блока предобработки, основанного на вейвлет-преобразовании речевого сигнала.
Труды международной конференции "Диалог". - Звенигород, 2003. - (Страницы не указаны). В статье описаны два алгоритма сегментации речевого сигнала с использованием вейвлет-преобразования. Даны их сравнительные характеристики.
Статья. - / А.В. Заболеева-Зотова, Ю.А. Орлова, В.Л. Розалиев, А.С. Бобков // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2012) : материалы II Международной научно-технической конференции (Минск, 16-18 февраля 2012) / В.В. Голенков (отв. ред.) - Минск: БГУИР, 2012. - C. 351-354. В статье...
Статья. - // Известия Волгоградского государственного технического университета. 2011. Т. 3. № 10. С. 68-72. В статье приведено краткое описание современных систем распознавания и/или передачи эмоциональных реакций человека. Рассматриваются перспективные направления использования комплексной системы распознавания эмоций. Ключевые слова: распознавание эмоциональных реакций,...
Электроника и связь. – 2013. – Т 72. – № 1. – С. 94 – 101. Экспериментально исследовано влияние помех и некоторых характеристик системы автоматического распознавания речи на качество распознавания. Получены рекомендации по оптимизации параметров системы автоматического распознавания речи для нескольких сценариев ее использования
Санкт-Петербургский политехнический университет Петра Великого, Институт компьютерных наук и технологий, доц. Т.В. Коликова, Санкт-Петербург, 2016, 80 с. Данная работа посвящена такой области информационных технологий, как обработка и понимание естественной речи. Целью работы является разработка алгоритма, позволяющего решить проблему выделения смысла из предложений, в которых...
Статья. — Научная сессия МИФИ-2007. Т. 2. Технологии разработки программных систем. Информационные технологии. — С. 149-150. Проблема автоматического распознавания эмоционального состояния человека на основе акустических характеристик речи представляет интерес, как в теоретическом плане, так и для решения различных прикладных задач. Эта проблем на данный момент не является...
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