Second Workshop On Neural Networks For Speech Processing
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Second Workshop On Neural Networks For Speech Processing
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Author : Marco Gori
language : en
Publisher:
Release Date : 1993
Second Workshop On Neural Networks For Speech Processing written by Marco Gori and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Proceedings Of The Second Workshop On Neural Networks
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Author : Society for Computer Simulation
language : en
Publisher:
Release Date : 1991
Proceedings Of The Second Workshop On Neural Networks written by Society for Computer Simulation and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Neural circuitry categories.
Speech Processing Ii Neural Networks For Signal Processing
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Author :
language : en
Publisher:
Release Date : 1998
Speech Processing Ii Neural Networks For Signal Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
Artificial Neural Networks In Pattern Recognition
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Author : Friedhelm Schwenker
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-29
Artificial Neural Networks In Pattern Recognition written by Friedhelm Schwenker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-29 with Business & Economics categories.
This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics.
New Era For Robust Speech Recognition
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Author : Shinji Watanabe
language : en
Publisher: Springer
Release Date : 2017-10-30
New Era For Robust Speech Recognition written by Shinji Watanabe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-30 with Computers categories.
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.
Proceedings Of The International Workshop On Applications Of Neural Networks To Telecommunications
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Author : Joshua Alspector
language : en
Publisher: Psychology Press
Release Date : 1995
Proceedings Of The International Workshop On Applications Of Neural Networks To Telecommunications written by Joshua Alspector and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
This second International Workshop on Applications of Neural Networks to Telecommunications (IWANNT), like the first, was motivated by needs in the rapidly changing telecommunications industry. The last workshop featured an electronic version of the proceedings which was accessible to interested people via the Internet. Since then, the enormous growth of the Internet and the availability of visual network browsers have made remote information access seem commonplace. Further evidence of the revolution in the industry is clear as it changes from a structure where telecommunications networks, equipment, and services are controlled by large vertically integrated companies to many specialized horizontally structured firms. Traditional monopoly telecommunications is evolving into a diverse and dynamic information infrastructure. There will be firms specializing as local access network providers, while others will provide long distance networks, and still others will provide network equipment and terminal or user equipment. Added to the above mix, which was typically the province of a large vertically integrated and regulated monopoly telephone company, will be companies not traditionally thought of as telecommunications providers -- entertainment companies, news sources, and other information sources. There will also be firms specializing in software to control the networks and enable information service applications such as movies-on-demand. Perhaps most significant, the convergence of computers and communications has blurred these industries till they are nearly indistinct. This workshop featured 50 papers that represent neural network approaches to a variety of needs. There is the need to adapt to changing channel conditions (adaptive non-linear equalization) and the growing importance of wireless access. The convergence of digital services in asynchronous transfer mode (ATM) packet networks requires new methods of access control and neural networks promise a unique approach. There are also papers on applications in switching and routing. There will be a new class of applications in information filtering, data compression, and speech and pattern recognition and understanding which will make use of neural network technology. The distributed nature of networks will stimulate research in network management and decision tools, fault prediction and error recovery, and new methods of managing large software systems. These proceedings show how neural network technology contributes a new tool to tackling the challenging problems of the information age.
Neural Nets Wirn Vietri 98
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Author : Maria Marinaro
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Nets Wirn Vietri 98 written by Maria Marinaro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.
Text Speech And Dialogue
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Author : Vaclav Matousek
language : en
Publisher: Springer
Release Date : 2003-07-31
Text Speech And Dialogue written by Vaclav Matousek and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Technology & Engineering categories.
This book constitutes the refereed proceedings of the Second International Workshop on Text, Speech and Dialogue, TSD'99, held in Plzen, Czech Republic in September 1999. The 57 revised full papers and 19 posters presented were carefully reviewed and selected for inclusion in the book. The book presents state-of-the-art research and technology in the field of natural language processing with emphasis on text, speech, and spoken dialogue.
Spoken Language Understanding
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Author : Gokhan Tur
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-03
Spoken Language Understanding written by Gokhan Tur and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-03 with Language Arts & Disciplines categories.
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.
Deep Learning For Nlp And Speech Recognition
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Author : Uday Kamath
language : en
Publisher: Springer
Release Date : 2019-06-10
Deep Learning For Nlp And Speech Recognition written by Uday Kamath and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with Computers categories.
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.