Large Margin Algorithms For Discriminative Continuous Speech Recognition

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Automatic Speech and Speaker Recognition

Author : Joseph Keshet
Publisher : John Wiley & Sons
ISBN 13 : 9780470742037
Total Pages : 268 pages
Book Rating : 4.7/5 (42 download)

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Book Synopsis Automatic Speech and Speaker Recognition by : Joseph Keshet

Download or read book Automatic Speech and Speaker Recognition written by Joseph Keshet and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.

Computer Analysis of Images and Patterns

Author : Richard Wilson
Publisher : Springer
ISBN 13 : 3642402615
Total Pages : 622 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Computer Analysis of Images and Patterns by : Richard Wilson

Download or read book Computer Analysis of Images and Patterns written by Richard Wilson and published by Springer. This book was released on 2013-08-16 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 8047 and 8048 constitutes the refereed proceedings of the 15th International Conference on Computer Analysis of Images and Patterns, CAIP 2013, held in York, UK, in August 2013. The 142 papers presented were carefully reviewed and selected from 243 submissions. The scope of the conference spans the following areas: 3D TV, biometrics, color and texture, document analysis, graph-based methods, image and video indexing and database retrieval, image and video processing, image-based modeling, kernel methods, medical imaging, mobile multimedia, model-based vision approaches, motion analysis, natural computation for digital imagery, segmentation and grouping, and shape representation and analysis.

The Application of Hidden Markov Models in Speech Recognition

Author : Mark Gales
Publisher : Now Publishers Inc
ISBN 13 : 1601981201
Total Pages : 125 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis The Application of Hidden Markov Models in Speech Recognition by : Mark Gales

Download or read book The Application of Hidden Markov Models in Speech Recognition written by Mark Gales and published by Now Publishers Inc. This book was released on 2008 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.

Robust Speech

Author : Michael Grimm
Publisher : BoD – Books on Demand
ISBN 13 : 3902613084
Total Pages : 471 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Robust Speech by : Michael Grimm

Download or read book Robust Speech written by Michael Grimm and published by BoD – Books on Demand. This book was released on 2007-06-01 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on Robust Speech Recognition and Understanding brings together many different aspects of the current research on automatic speech recognition and language understanding. The first four chapters address the task of voice activity detection which is considered an important issue for all speech recognition systems. The next chapters give several extensions to state-of-the-art HMM methods. Furthermore, a number of chapters particularly address the task of robust ASR under noisy conditions. Two chapters on the automatic recognition of a speaker's emotional state highlight the importance of natural speech understanding and interpretation in voice-driven systems. The last chapters of the book address the application of conversational systems on robots, as well as the autonomous acquisition of vocalization skills.

Algorithms in Ambient Intelligence

Author : W. Verhaegh
Publisher : Springer Science & Business Media
ISBN 13 : 9401707030
Total Pages : 347 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Algorithms in Ambient Intelligence by : W. Verhaegh

Download or read book Algorithms in Ambient Intelligence written by W. Verhaegh and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advent of the digital era, the Internet, and the development of fast com puting devices that can access mass storage servers at high communication bandwidths have brought within our reach the world of ambient intelligent systems. These systems provide users with information, communication, and entertainment at any desired place and time. Since its introduction in 1998, the vision of Ambient Intelligence has attracted much attention within the re search community. Especially, the need for intelligence generated by smart al gorithms, which run on digital platforms that are integrated into consumer elec tronics devices, has strengthened the interest in Computational Intelligence. This newly developing research field, which can be positioned at the inter section of computer science, discrete mathematics, and artificial intelligence, contains a large variety of interesting topics including machine learning, con tent management, vision, speech, data mining, content augmentation, profiling, contextual awareness, feature extraction, resource management, security, and privacy.

Deep and Reinforcement Learning: Models and Algorithm

Author : Dr.R.Jayakarthik
Publisher : Leilani Katie Publication
ISBN 13 : 8197213844
Total Pages : 148 pages
Book Rating : 4.1/5 (972 download)

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Book Synopsis Deep and Reinforcement Learning: Models and Algorithm by : Dr.R.Jayakarthik

Download or read book Deep and Reinforcement Learning: Models and Algorithm written by Dr.R.Jayakarthik and published by Leilani Katie Publication. This book was released on 2024-04-02 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.R.Jayakarthik, Associate Professor and Head, Department of Computational Intelligence, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. Dr.S.Rukmani Devi, Assistant Professor, Senior Grade, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Deemed to be University, Chennai, Tamil Nadu, India. Dr.B.Geetha, Associate Professor, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. Dr.Krishna Priya, Professor, Department of Computer Science, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.

Advances in Neural Information Processing Systems 19

Author : Bernhard Schölkopf
Publisher : MIT Press
ISBN 13 : 0262195682
Total Pages : 1668 pages
Book Rating : 4.2/5 (621 download)

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Book Synopsis Advances in Neural Information Processing Systems 19 by : Bernhard Schölkopf

Download or read book Advances in Neural Information Processing Systems 19 written by Bernhard Schölkopf and published by MIT Press. This book was released on 2007 with total page 1668 pages. Available in PDF, EPUB and Kindle. Book excerpt: The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in Vancouver.

Hidden Markov Models

Author : Przemyslaw Dymarski
Publisher : BoD – Books on Demand
ISBN 13 : 9533072083
Total Pages : 329 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Hidden Markov Models by : Przemyslaw Dymarski

Download or read book Hidden Markov Models written by Przemyslaw Dymarski and published by BoD – Books on Demand. This book was released on 2011-04-19 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hidden Markov Models (HMMs), although known for decades, have made a big career nowadays and are still in state of development. This book presents theoretical issues and a variety of HMMs applications in speech recognition and synthesis, medicine, neurosciences, computational biology, bioinformatics, seismology, environment protection and engineering. I hope that the reader will find this book useful and helpful for their own research.

Springer Handbook of Speech Processing

Author : Jacob Benesty
Publisher : Springer Science & Business Media
ISBN 13 : 3540491252
Total Pages : 1170 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Springer Handbook of Speech Processing by : Jacob Benesty

Download or read book Springer Handbook of Speech Processing written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2007-11-28 with total page 1170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Evaluation of Natural Language and Speech Tool for Italian

Author : Bernardo Magnini
Publisher : Springer
ISBN 13 : 3642358284
Total Pages : 350 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Evaluation of Natural Language and Speech Tool for Italian by : Bernardo Magnini

Download or read book Evaluation of Natural Language and Speech Tool for Italian written by Bernardo Magnini and published by Springer. This book was released on 2013-01-03 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: EVALITA (http://www.evalita.it/) is the reference evaluation campaign of both Natural Language Processing and Speech Technologies for the Italian language. The objective of the shared tasks proposed at EVALITA is to promote the development of language technologies for Italian, providing a common framework where different systems and approaches can be evaluated and compared in a consistent manner. This volume collects the final and extended contributions presented at EVALITA 2011, the third edition of the evaluation campaign. The 36 revised full papers were carefully reviewed and selected from a total of 87 submissions. The papers are organized in topical sections roughly corresponding to evaluation tasks: parsing - dependency parsing track, parsing - constituency parsing track, domain adaptation for dependency parsing, named entity recognition on transcribed broadcast news, cross-document coreference resolution of named person entities, anaphora resolution, supersense tagging, frame labeling over italian texts, lemmatisation, automatic speech recognition - large vocabulary transcription, forced alignment on spontaneous speech.

Connectionist Speech Recognition

Author : Hervé A. Bourlard
Publisher : Springer Science & Business Media
ISBN 13 : 1461532108
Total Pages : 329 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Connectionist Speech Recognition by : Hervé A. Bourlard

Download or read book Connectionist Speech Recognition written by Hervé A. Bourlard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Speech Recognition: A Hybrid Approach describes the theory and implementation of a method to incorporate neural network approaches into state of the art continuous speech recognition systems based on hidden Markov models (HMMs) to improve their performance. In this framework, neural networks (and in particular, multilayer perceptrons or MLPs) have been restricted to well-defined subtasks of the whole system, i.e. HMM emission probability estimation and feature extraction. The book describes a successful five-year international collaboration between the authors. The lessons learned form a case study that demonstrates how hybrid systems can be developed to combine neural networks with more traditional statistical approaches. The book illustrates both the advantages and limitations of neural networks in the framework of a statistical systems. Using standard databases and comparison with some conventional approaches, it is shown that MLP probability estimation can improve recognition performance. Other approaches are discussed, though there is no such unequivocal experimental result for these methods. Connectionist Speech Recognition is of use to anyone intending to use neural networks for speech recognition or within the framework provided by an existing successful statistical approach. This includes research and development groups working in the field of speech recognition, both with standard and neural network approaches, as well as other pattern recognition and/or neural network researchers. The book is also suitable as a text for advanced courses on neural networks or speech processing.

Automatic Speech Recognition

Author : Dong Yu
Publisher : Springer
ISBN 13 : 1447157796
Total Pages : 329 pages
Book Rating : 4.4/5 (471 download)

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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.

Robust Automatic Speech Recognition

Author : Jinyu Li
Publisher : Academic Press
ISBN 13 : 0128026162
Total Pages : 308 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Robust Automatic Speech Recognition by : Jinyu Li

Download or read book Robust Automatic Speech Recognition written by Jinyu Li and published by Academic Press. This book was released on 2015-10-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications.The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided.The reader will: - Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition - Learn the links and relationship between alternative technologies for robust speech recognition - Be able to use the technology analysis and categorization detailed in the book to guide future technology development - Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition - The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks - Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment - Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques - Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years

Progress in Nonlinear Speech Processing

Author : Yannis Stylianou
Publisher : Springer
ISBN 13 : 3540715053
Total Pages : 280 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Progress in Nonlinear Speech Processing by : Yannis Stylianou

Download or read book Progress in Nonlinear Speech Processing written by Yannis Stylianou and published by Springer. This book was released on 2007-05-24 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes of the major results of the EU COST (European Cooperation in the field of Scientific and Technical Research) Action 277: NSP, Nonlinear Speech Processing, running from April 2001 to June 2005. Coverage includes such areas as speech analysis for speech synthesis, speech recognition, speech-non speech discrimination and voice quality assessment, speech enhancement, and emotional state detection.

Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling

Author : Wand, Michael
Publisher : KIT Scientific Publishing
ISBN 13 : 3731502119
Total Pages : 256 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling by : Wand, Michael

Download or read book Advancing Electromyographic Continuous Speech Recognition: Signal Preprocessing and Modeling written by Wand, Michael and published by KIT Scientific Publishing. This book was released on 2015-02-04 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.

Handbook of Natural Language Processing and Machine Translation

Author : Joseph Olive
Publisher : Springer Science & Business Media
ISBN 13 : 1441977139
Total Pages : 956 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Handbook of Natural Language Processing and Machine Translation by : Joseph Olive

Download or read book Handbook of Natural Language Processing and Machine Translation written by Joseph Olive and published by Springer Science & Business Media. This book was released on 2011-03-02 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields. This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Author : L. Padma Suresh
Publisher : Springer
ISBN 13 : 8132221265
Total Pages : 831 pages
Book Rating : 4.1/5 (322 download)

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Book Synopsis Artificial Intelligence and Evolutionary Algorithms in Engineering Systems by : L. Padma Suresh

Download or read book Artificial Intelligence and Evolutionary Algorithms in Engineering Systems written by L. Padma Suresh and published by Springer. This book was released on 2014-11-01 with total page 831 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.