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Neural Modeling Of Speech Processing And Speech Learning
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Book Synopsis Neural Modeling of Speech Processing and Speech Learning by : Bernd J. Kröger
Download or read book Neural Modeling of Speech Processing and Speech Learning written by Bernd J. Kröger and published by Springer. This book was released on 2019-07-11 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the processes of spoken language production and perception from a neurobiological perspective. After presenting the basics of speech processing and speech acquisition, a neurobiologically-inspired and computer-implemented neural model is described, which simulates the neural processes of speech processing and speech acquisition. This book is an introduction to the field and aimed at students and scientists in neuroscience, computer science, medicine, psychology and linguistics.
Book Synopsis Speech Processing, Recognition and Artificial Neural Networks by : Gerard Chollet
Download or read book Speech Processing, Recognition and Artificial Neural Networks written by Gerard Chollet and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech Processing, Recognition and Artificial Neural Networks contains papers from leading researchers and selected students, discussing the experiments, theories and perspectives of acoustic phonetics as well as the latest techniques in the field of spe ech science and technology. Topics covered in this book include; Fundamentals of Speech Analysis and Perceptron; Speech Processing; Stochastic Models for Speech; Auditory and Neural Network Models for Speech; Task-Oriented Applications of Automatic Speech Recognition and Synthesis.
Book Synopsis Intelligent Speech Signal Processing by : Nilanjan Dey
Download or read book Intelligent Speech Signal Processing written by Nilanjan Dey and published by Academic Press. This book was released on 2019-06-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning, and data mining Illustrates different applications and challenges across the design, implementation, and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks
Book Synopsis Neural Networks and Speech Processing by : David P. Morgan
Download or read book Neural Networks and Speech Processing written by David P. Morgan and published by Springer. This book was released on 1991-02-28 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: We would like to take this opportunity to thank all of those individ uals who helped us assemble this text, including the people of Lockheed Sanders and Nestor, Inc., whose encouragement and support were greatly appreciated. In addition, we would like to thank the members of the Lab oratory for Engineering Man-Machine Systems (LEMS) and the Center for Neural Science at Brown University for their frequent and helpful discussions on a number of topics discussed in this text. Although we both attended Brown from 1983 to 1985, and had offices in the same building, it is surprising that we did not meet until 1988. We also wish to thank Kluwer Academic Publishers for their profes sionalism and patience, and the reviewers for their constructive criticism. Thanks to John McCarthy for performing the final proof, and to John Adcock, Chip Bachmann, Deborah Farrow, Nathan Intrator, Michael Perrone, Ed Real, Lance Riek and Paul Zemany for their comments and assistance. We would also like to thank Khrisna Nathan, our most unbi ased and critical reviewer, for his suggestions for improving the content and accuracy of this text. A special thanks goes to Steve Hoffman, who was instrumental in helping us perform the experiments described in Chapter 9.
Book Synopsis Handbook of Neural Networks for Speech Processing by : Shigeru Katagiri
Download or read book Handbook of Neural Networks for Speech Processing written by Shigeru Katagiri and published by Artech House Publishers. This book was released on 2000 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.
Book Synopsis Automatic Speech Recognition by : Dong Yu
Download or read book Automatic Speech Recognition written by Dong Yu and published by Springer. This book was released on 2014-11-11 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.
Book Synopsis New Era for Robust Speech Recognition by : Shinji Watanabe
Download or read book New Era for Robust Speech Recognition written by Shinji Watanabe and published by Springer. This book was released on 2017-10-30 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. 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. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.
Book Synopsis Deep Learning for NLP and Speech Recognition by : Uday Kamath
Download or read book Deep Learning for NLP and Speech Recognition written by Uday Kamath and published by Springer. This book was released on 2019-06-10 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
Book Synopsis Computational Models of Speech Pattern Processing by : Keith Ponting
Download or read book Computational Models of Speech Pattern Processing written by Keith Ponting and published by Springer. This book was released on 1999-03-11 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute on Computational Models of Speech Pattern Processing, held in St. Helier, Jersey, UK, July 7-18, 1997
Book Synopsis On the Neural Modeling of Speech Processes by : Charles Carson Tappert
Download or read book On the Neural Modeling of Speech Processes written by Charles Carson Tappert and published by . This book was released on 1966 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work concerns the neural modeling of the human processes of speech production and perception. Part of this study deals with a new technique of speech synthesis. Newly defined generalized parameter waveforms, produced by an electronic waveform generator, are employed to approximate acoustic parameter transitions in the synthesis of dyad segments. The study also employs computer simulation studies to investigate neural models of: (1) the speech recognition process; (2) the control of speech production at the neural command level; and (3) feedback systems in the speech acquisition processes of babbling and mimicking. One of the preprocessing systems for speech recognition employs a new technique of detecting time sequences of features. In modeling these processes emphasis was on adaptive networks. (Author).
Author :Yoshua Bengio Publisher :London ; Toronto : International Thomson Computer Press ISBN 13 : Total Pages :184 pages Book Rating :4.3/5 (91 download)
Book Synopsis Neural Networks for Speech and Sequence Recognition by : Yoshua Bengio
Download or read book Neural Networks for Speech and Sequence Recognition written by Yoshua Bengio and published by London ; Toronto : International Thomson Computer Press. This book was released on 1996 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequence recognition is a crucial element in many applications in the fields of speech analysis, control, and modeling. This book applies the techniques of neural networks and hidden Markov models to the problems of sequence recognition, and as such will prove valuable to researchers and graduate students alike.
Book Synopsis The Cognitive and Neural Organisation of Speech Processing by : Patti Adank
Download or read book The Cognitive and Neural Organisation of Speech Processing written by Patti Adank and published by Frontiers Media SA. This book was released on 2016-03-18 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech production and perception are two of the most complex actions humans perform. The processing of speech is studied across various fields and using a wide variety of research approaches. These fields include, but are not limited to, (socio)linguistics, phonetics, cognitive psychology, neurophysiology, and cognitive neuroscience. Research approaches range from behavioural studies to neuroimaging techniques such as Magnetoencephalography, electroencephalography (MEG/EEG) and functional Magnetic Resonance Imaging (fMRI), as well as neurophysiological approaches, such as the recording of Motor Evoked Potentials (MEPs), and Transcranial Magnetic Stimulation (TMS). Each of these approaches provides valuable information about specific aspects of speech processing. Behavioural testing can inform about the nature of the cognitive processes involved in speech processing, neuroimaging methods show where (fMRI and MEG) in the brain these processes take place and/or elucidate on the time-course of activation of these brain areas (EEG and MEG), while neurophysiological methods (MEPs and TMS) can assess critical involvement of brain regions in the cognitive process. Yet, what is currently unclear is how speech researchers can combine methods such that a convergent approach adds to theory/model formulation, above and beyond the contribution of individual component methods? We expect that such combinations of approaches will significantly forward theoretical development in the field. The present research topic comprise a collection of manuscripts discussing the cognitive and neural organisation of speech processing, including speech production and perception at the level of individual speech sounds, syllables, words, and sentences. Our goal was to use findings from a variety of disciplines, perspectives, and approaches to gain a more complete picture of the organisation of speech processing. The contributions are grouped around the following five main themes: 1) Spoken language comprehension under difficult listening conditions; 2) Sub-lexical processing; 3) Sensorimotor processing of speech; 4) Speech production. The contributions used a variety of research approaches, including behavioural experiments, fMRI, EEG, MEG, and TMS. Twelve of the 14 contributions were on speech perception processing, and the remaining two examined speech production. This Research Topic thus displays a wide variety of topics and research methods and this comprehensive approach allows an integrative understanding of currently available evidence as well as the identification of concrete venues for future research.
Book Synopsis Speech, Hearing and Neural Network Models by : Seiichi Nakagawa
Download or read book Speech, Hearing and Neural Network Models written by Seiichi Nakagawa and published by IOS Press. This book was released on 1995 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: A wide range of fields of study support speech research. They cover many fields like for instance phonetics, linguistics, psychology, cognitive science, sonics, information engineering (information theory, pattern recognition, artificial intelligence), and it is an extremely difficult job to carry all of these in one body.The first half of this book gives detailed descriptions of engineering applications, that is the speech, hearing and perception mechanisms that form the basis for automatic synthesis and recognition of speech. The second half of this book gives a detailed explanation of speech synthesis and recognition based on a collective physiological approach, that is the artificial neural networks which imitate human neural networks and have once again been bathed in attention lately. The characteristics of this book are that, along with having engineers and technicians as its main targets, it explains engineering models based on speech science.
Book Synopsis Spoken Language Understanding by : Gokhan Tur
Download or read book Spoken Language Understanding written by Gokhan Tur and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.
Book Synopsis Neural Text-to-Speech Synthesis by : Xu Tan
Download or read book Neural Text-to-Speech Synthesis written by Xu Tan and published by Springer Nature. This book was released on 2023-05-29 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TTS in the era of deep learning, aiming to provide a good understanding of neural TTS, current research and applications, and the future research trend. This book first introduces the history of TTS technologies and overviews neural TTS, and provides preliminary knowledge on language and speech processing, neural networks and deep learning, and deep generative models. It then introduces neural TTS from the perspective of key components (text analyses, acoustic models, vocoders, and end-to-end models) and advanced topics (expressive and controllable, robust, model-efficient, and data-efficient TTS). It also points some future research directions and collects some resources related to TTS. This book is the first to introduce neural TTS in a comprehensive and easy-to-understand way and can serve both academic researchers and industry practitioners working on TTS.
Book Synopsis Speech & Language Processing by : Dan Jurafsky
Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Speaker Perception and Recognition. An Integrative Framework for Computational Speech Processing by : Oxana Lapteva
Download or read book Speaker Perception and Recognition. An Integrative Framework for Computational Speech Processing written by Oxana Lapteva and published by kassel university press GmbH. This book was released on 2011 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt:
