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Combining Multiple Knowledge Sources For Speech Recognition
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Book Synopsis Combining Multiple Knowledge Sources for Speech Recognition by : Richard Schwartz
Download or read book Combining Multiple Knowledge Sources for Speech Recognition written by Richard Schwartz and published by . This book was released on 1988 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annual report summarizes the work on using multiple knowledge sources in a speech recognition system. Included is research in search strategies, statistical language modeling and phonological rules. We also describe the testing of the system using the standard DARPA Resource Management Database. Additional topics of demonstrations, database documentation and porting of the system from the Symbolics Lisp machine to the SUN4 in C are also discussed. Keywords: Continuous speech recognition, Statistical language modelling, Search strategies, and Multiple-pass search. (rh).
Book Synopsis Pattern Recognition in Speech and Language Processing by : Wu Chou
Download or read book Pattern Recognition in Speech and Language Processing written by Wu Chou and published by CRC Press. This book was released on 2003-02-26 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Reco
Book Synopsis Readings in Speech Recognition by : Alexander Waibel
Download or read book Readings in Speech Recognition written by Alexander Waibel and published by Elsevier. This book was released on 1990-12-25 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: After more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years. The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.
Book Synopsis Incorporating Knowledge Sources into Statistical Speech Recognition by : Sakriani Sakti
Download or read book Incorporating Knowledge Sources into Statistical Speech Recognition written by Sakriani Sakti and published by Springer Science & Business Media. This book was released on 2009-02-27 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Robustness in Automatic Speech Recognition by : Jean-Claude Junqua
Download or read book Robustness in Automatic Speech Recognition written by Jean-Claude Junqua and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.
Book Synopsis Modern Speech Recognition by : S. Ramakrishnan
Download or read book Modern Speech Recognition written by S. Ramakrishnan and published by BoD – Books on Demand. This book was released on 2012-11-28 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses primarily on speech recognition and the related tasks such as speech enhancement and modeling. This book comprises 3 sections and thirteen chapters written by eminent researchers from USA, Brazil, Australia, Saudi Arabia, Japan, Ireland, Taiwan, Mexico, Slovakia and India. Section 1 on speech recognition consists of seven chapters. Sections 2 and 3 on speech enhancement and speech modeling have three chapters each respectively to supplement section 1. We sincerely believe that thorough reading of these thirteen chapters will provide comprehensive knowledge on modern speech recognition approaches to the readers.
Book Synopsis Prosody and Speech Recognition by : Alex Waibel
Download or read book Prosody and Speech Recognition written by Alex Waibel and published by Morgan Kaufmann. This book was released on 1988 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Waibel, (computer science, Carnegie-Mellon U.), focuses on the prosodic cues (e.g., pitch, intensity, rhythm, temporal relationships, stress) that are critical to human speech perception. No index. Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis Incorporating Knowledge Sources into Statistical Speech Recognition by : Sakriani Sakti
Download or read book Incorporating Knowledge Sources into Statistical Speech Recognition written by Sakriani Sakti and published by Springer. This book was released on 2008-11-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Demand Bibliography written by and published by . This book was released on 1989 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Extraction and Representation of Prosody for Speaker, Speech and Language Recognition by : Leena Mary
Download or read book Extraction and Representation of Prosody for Speaker, Speech and Language Recognition written by Leena Mary and published by Springer Science & Business Media. This book was released on 2011-10-17 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Extraction and Representation of Prosodic Features for Speech Processing Applications deals with prosody from speech processing point of view with topics including: The significance of prosody for speech processing applications Why prosody need to be incorporated in speech processing applications Different methods for extraction and representation of prosody for applications such as speech synthesis, speaker recognition, language recognition and speech recognition This book is for researchers and students at the graduate level.
Book Synopsis Automatic Speech and Speaker Recognition by : Chin-Hui Lee
Download or read book Automatic Speech and Speaker Recognition written by Chin-Hui Lee and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance. Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization. Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.
Book Synopsis Broadcast News Workshop '99 Proceedings by : Darpa
Download or read book Broadcast News Workshop '99 Proceedings written by Darpa and published by Morgan Kaufmann. This book was released on 1999-06-29 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Multi-source, Multilingual Information Extraction and Summarization by : Thierry Poibeau
Download or read book Multi-source, Multilingual Information Extraction and Summarization written by Thierry Poibeau and published by Springer Science & Business Media. This book was released on 2012-08-14 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.
Book Synopsis Automatic Speech Analysis and Recognition by : Jean-Paul Haton
Download or read book Automatic Speech Analysis and Recognition written by Jean-Paul Haton and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of the second NATO Advanced Study Institute on speech processing held at the Chateau de Bonas, France, from June 29th to July 10th, 1981. This Institute provided a high-level coverage of the fields of speech transmission, recognition and understanding, which constitute important areas where research activity has re cently been associated with actual industrial developments. This book will therefore include both fundamental and applied topics. Ten survey papers by some of the best specialists in the field are included. They give an up-to-date presentation of several important problems in automatic speech processing. As a consequence the book can be considered as a reference manual on some important areas of automatic speech processing. The surveys are indicated by 'a * in the table of contents. This book also contains research papers corresponding to original works, which were presented during the panel sessions of the Institute. For the sake of clarity the book has been divided into five sections : 1. Speech Analysis and Transmission: An emphasis has been laid on the techniques of linear prediction (LPC), and the problems involved in the transmission of speech at various bit rates are addressed in details. 2. Acoustics and Phonetics : One'of the major bottleneck in the development of speech recogni tion systems remains the transcription of the continuous speech wave into some discrete strings or lattices of phonetic symbols. Two survey papers discuss this problem from different points of view and several practical systems are also described.
Book Synopsis The Balancing Act by : Judith L. Klavans
Download or read book The Balancing Act written by Judith L. Klavans and published by MIT Press. This book was released on 1996 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolic and statistical approaches to language have historically been at odds--the former viewed as difficult to test and therefore perhaps impossible to define, and the latter as descriptive but possibly inadequate. At the heart of the debate are fundamental questions concerning the nature of language, the role of data in building a model or theory, and the impact of the competence-performance distinction on the field of computational linguistics. Currently, there is an increasing realization in both camps that the two approaches have something to offer in achieving common goals. The eight contributions in this book explore the inevitable "balancing act" that must take place when symbolic and statistical approaches are brought together--including basic choices about what knowledge will be represented symbolically and how it will be obtained, what assumptions underlie the statistical model, what principles motivate the symbolic model, and what the researcher gains by combining approaches. The topics covered include an examination of the relationship between traditional linguistics and statistical methods, qualitative and quantitative methods of speech translation, study and implementation of combined techniques for automatic extraction of terminology, comparative analysis of the contributions of linguistic cues to a statistical word grouping system, automatic construction of a symbolic parser via statistical techniques, combining linguistic with statistical methods in automatic speech understanding, exploring the nature of transformation-based learning, and a hybrid symbolic/statistical approach to recovering from parser failures.
Book Synopsis The Integration of Phonetic Knowledge in Speech Technology by : William J. Barry
Download or read book The Integration of Phonetic Knowledge in Speech Technology written by William J. Barry and published by Springer Science & Business Media. This book was released on 2006-03-31 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continued progress in Speech Technology in the face of ever-increasing demands on the performance levels of applications is a challenge to the whole speech and language science community. Robust recognition and understanding of spontaneous speech in varied environments, good comprehensibility and naturalness of expressive speech synthesis are goals that cannot be achieved without a change of paradigm. This book argues for interdisciplinary communication and cooperation in problem-solving in general, and discusses the interaction between speech and language engineering and phonetics in particular. With a number of reports on innovative speech technology research as well as more theoretical discussions, it addresses the practical, scientific and sometimes the philosophical problems that stand in the way of cross-disciplinary collaboration and illuminates some of the many possible ways forward. Audience: Researchers and professionals in speech technology and computational linguists.
Book Synopsis Machine Learning for Multimodal Interaction by : Andrei Popescu-Belis
Download or read book Machine Learning for Multimodal Interaction written by Andrei Popescu-Belis and published by Springer. This book was released on 2008-02-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations. The papers are organized in topical sections on multimodal processing, HCI, user studies and applications, image and video processing, discourse and dialogue processing, speech and audio processing, as well as the PASCAL speech separation challenge.
