Incorporating Knowledge Sources Into Statistical Speech Recognition

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Incorporating Knowledge Sources Into Statistical Speech Recognition
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Author : Sakriani Sakti
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-02-27
Incorporating Knowledge Sources Into Statistical Speech Recognition written by Sakriani Sakti 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 2009-02-27 with Technology & Engineering categories.
Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.
Incorporating Knowledge Sources Into Statistical Speech Recognition
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Author : Sakriani Sakti
language : en
Publisher: Springer
Release Date : 2008-11-01
Incorporating Knowledge Sources Into Statistical Speech Recognition written by Sakriani Sakti and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with Technology & Engineering categories.
Incorporating Knowledge Sources into Statistical Speech Recognition addresses the problem of developing efficient automatic speech recognition (ASR) systems, which maintain a balance between utilizing a wide knowledge of speech variability, while keeping the training / recognition effort feasible and improving speech recognition performance. The book provides an efficient general framework to incorporate additional knowledge sources into state-of-the-art statistical ASR systems. It can be applied to many existing ASR problems with their respective model-based likelihood functions in flexible ways.
Recent Advances In Speech Understanding And Dialog Systems
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Author : H. Niemann
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Recent Advances In Speech Understanding And Dialog Systems written by H. Niemann 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.
This volume contains invited and contributed papers presented at the NATO Advanced study Insti tute on "Recent Advances in Speech Understanding and Dialog systems" held in Bad Windsheim, Federal Republic of Germany, July 5 to July 18, 1987. It is divided into the three parts Speech coding and Segmentation, Word Recognition, and Linguistic Processing. Although this can only be a rough organization showing some overlap, the editors felt that it most naturally represents the bottom-up strategy of speech understanding and, therefore, should be useful for the reader. Part 1, SPEECH CODING AND SEGMENTATION, contains 4 invited and 14 contributed papers. The first invited paper summarizes basic properties of speech signals, reviews coding schemes, and describes a particular solution which guarantees high speech quality at low data rates. The second and third invited papers are concerned with acoustic-phonetic decoding. Techniques to integrate knowledge sources into speech recognition systems are presented and demonstrated by experimental systems. The fourth invited paper gives an overview of approaches for using prosodic knowledge in automatic speech recogni tion systems, and a method for assigning a stress score to every syllable in an utterance of German speech is reported in a contributed paper. A set of contributed papers treats the problem of automatic segmentation, and several authors successfully apply knowledge-based methods for interpreting speech signals and spectrograms. The last three papers investigate phonetic models, Markov models and fuzzy quantization techniques and provide a transi tion to Part 2 .
More Than Screen Deep
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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 1997-10-12
More Than Screen Deep written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-10-12 with Computers categories.
The national information infrastructure (NII) holds the promise of connecting people of all ages and descriptionsâ€"bringing them opportunities to interact with businesses, government agencies, entertainment sources, and social networks. Whether the NII fulfills this promise for everyone depends largely on interfacesâ€"technologies by which people communicate with the computing systems of the NII. More Than Screen Deep addresses how to ensure NII access for every citizen, regardless of age, physical ability, race/ethnicity, education, ability, cognitive style, or economic level. This thoughtful document explores current issues and prioritizes research directions in creating interface technologies that accommodate every citizen's needs. The committee provides an overview of NII users, tasks, and environments and identifies the desired characteristics in every-citizen interfaces, from power and efficiency to an element of fun. The book explores: Technological advances that allow a person to communicate with a computer system. Methods for designing, evaluating, and improving interfaces to increase their ultimate utility to all people. Theories of communication and collaboration as they affect person-computer interactions and person-person interactions through the NII. Development of agents: intelligent computer systems that "understand" the user's needs and find the solutions. Offering data, examples, and expert commentary, More Than Screen Deep charts a path toward enabling the broadest-possible spectrum of citizens to interact easily and effectively with the NII. This volume will be important to policymakers, information system designers and engineers, human factors professionals, and advocates for special populations.
Computational Models Of Speech Pattern Processing
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Author : Keith Ponting
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational Models Of Speech Pattern Processing written by Keith Ponting 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.
Proceedings of the NATO Advanced Study Institute on Computational Models of Speech Pattern Processing, held in St. Helier, Jersey, UK, July 7-18, 1997
Readings In Speech Recognition
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Author : Alexander Waibel
language : en
Publisher: Morgan Kaufmann
Release Date : 1990-05
Readings In Speech Recognition written by Alexander Waibel and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-05 with Computers categories.
Speech recognition by machine : a review / D.R. Reddy -- The value of speech recognition systems / W.A. Lea -- Digital representations of speech signals / R.W. Schafer and L.R. Rabiner -- Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences / S.B. Davis and P. Mermelstein -- Vector quantization / R.M. Gray -- A joint synchrony-mean-rate model of auditory speech processing / S. Seneff -- Isolated and connected word recognition : theory and selected applications / L.R. Rabiner and S.E. Levinson -- Minimum prediction residual principle applied to speech recognition / F. Itakura -- Dynamic programming algorithm optimization for spoken word recognition / S. Hakoe and S. Chiba -- Speaker-independent recognition of isolated words using clustering techniques / L.R. Rabiner [and others]Two-level DP-matching : a dynamic programming-based pattern matching algorithm for connected word recognition / H. Sakoe -- The use of a one-stage dynamic pr ...
Speech Recognition
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Author : France Mihelič
language : en
Publisher: BoD – Books on Demand
Release Date : 2008-11-01
Speech Recognition written by France Mihelič and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with Computers categories.
Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.
Handbook Of Natural Language Processing
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Author : Nitin Indurkhya
language : en
Publisher: CRC Press
Release Date : 2010-02-22
Handbook Of Natural Language Processing written by Nitin Indurkhya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-22 with Business & Economics categories.
The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater
Advances In Chinese Spoken Language Processing
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Author : Chin-Hui Lee
language : en
Publisher: World Scientific
Release Date : 2007
Advances In Chinese Spoken Language Processing written by Chin-Hui Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Language Arts & Disciplines categories.
After decades of research activity, Chinese spoken language processing (CSLP) has advanced considerably both in practical technology and theoretical discovery. In this book, the editors provide both an introduction to the field as well as unique research problems with their solutions in various areas of CSLP. The contributions represent pioneering efforts ranging from CSLP principles to technologies and applications, with each chapter encapsulating a single problem and its solutions.A commemorative volume for the 10th anniversary of the international symposium on CSLP in Singapore, this is a valuable reference for established researchers and an excellent introduction for those interested in the area of CSLP.
Connectionist Speech Recognition
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Author : Hervé A. Bourlard
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Connectionist Speech Recognition written by Hervé A. Bourlard 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 Technology & Engineering categories.
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.