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Pattern Recognition in Speech and Language Processing

Pattern Recognition in Speech and Language Processing PDF Author: Wu Chou
Publisher: CRC Press
ISBN: 0203010523
Category : Technology & Engineering
Languages : en
Pages : 413

Book Description
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

Pattern Recognition in Speech and Language Processing

Pattern Recognition in Speech and Language Processing PDF Author: Wu Chou
Publisher: CRC Press
ISBN: 0203010523
Category : Technology & Engineering
Languages : en
Pages : 413

Book Description
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

Speech & Language Processing

Speech & Language Processing PDF Author: Dan Jurafsky
Publisher: Pearson Education India
ISBN: 9788131716724
Category :
Languages : en
Pages : 912

Book Description


Applied Pattern Recognition

Applied Pattern Recognition PDF Author: Dietrich W.R. Paulus
Publisher: Morgan Kaufmann Publishers
ISBN:
Category : Computers
Languages : en
Pages : 430

Book Description
This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. It introduces the basics of software engineering, image and speech processing, als well as fundamental mathematical tools for pattern recognition. Step by step the C++ programming language is discribed. Each step is illustrated by examples based on challenging problems in image und speech processing. Particular emphasis is put on object-oriented programming and the implementation of efficient algorithms. The book proposes a general class hierarchy for image segmentation. The essential parts of an implementation are presented. An object-oriented system for speech classification based on stochastic models is described.

Computational Linguistics, Speech And Image Processing For Arabic Language

Computational Linguistics, Speech And Image Processing For Arabic Language PDF Author: Neamat El Gayar
Publisher: World Scientific
ISBN: 9813229403
Category : Computers
Languages : en
Pages : 288

Book Description
This book encompasses a collection of topics covering recent advances that are important to the Arabic language in areas of natural language processing, speech and image analysis. This book presents state-of-the-art reviews and fundamentals as well as applications and recent innovations.The book chapters by top researchers present basic concepts and challenges for the Arabic language in linguistic processing, handwritten recognition, document analysis, text classification and speech processing. In addition, it reports on selected applications in sentiment analysis, annotation, text summarization, speech and font analysis, word recognition and spotting and question answering.Moreover, it highlights and introduces some novel applications in vital areas for the Arabic language. The book is therefore a useful resource for young researchers who are interested in the Arabic language and are still developing their fundamentals and skills in this area. It is also interesting for scientists who wish to keep track of the most recent research directions and advances in this area.

Spoken Language Processing

Spoken Language Processing PDF Author: Xuedong Huang
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 1018

Book Description
Remarkable progress is being made in spoken language processing, but many powerful techniques have remained hidden in conference proceedings and academic papers, inaccessible to most practitioners. In this book, the leaders of the Speech Technology Group at Microsoft Research share these advances -- presenting not just the latest theory, but practical techniques for building commercially viable products.KEY TOPICS: Spoken Language Processing draws upon the latest advances and techniques from multiple fields: acoustics, phonology, phonetics, linguistics, semantics, pragmatics, computer science, electrical engineering, mathematics, syntax, psychology, and beyond. The book begins by presenting essential background on speech production and perception, probability and information theory, and pattern recognition. The authors demonstrate how to extract useful information from the speech signal; then present a variety of contemporary speech recognition techniques, including hidden Markov models, acoustic and language modeling, and techniques for improving resistance to environmental noise. Coverage includes decoders, search algorithms, large vocabulary speech recognition techniques, text-to-speech, spoken language dialog management, user interfaces, and interaction with non-speech interface modalities. The authors also present detailed case studies based on Microsoft's advanced prototypes, including the Whisper speech recognizer, Whistler text-to-speech system, and MiPad handheld computer.MARKET: For anyone involved with planning, designing, building, or purchasing spoken language technology.

Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF Author: Petra Perner
Publisher: Springer Science & Business Media
ISBN: 364203070X
Category : Computers
Languages : en
Pages : 837

Book Description
There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this year’s program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.

Mathematical Foundations of Speech and Language Processing

Mathematical Foundations of Speech and Language Processing PDF Author: Mark Johnson
Publisher: Springer Science & Business Media
ISBN: 1441990178
Category : Technology & Engineering
Languages : en
Pages : 292

Book Description
Speech and language technologies continue to grow in importance as they are used to create natural and efficient interfaces between people and machines, and to automatically transcribe, extract, analyze, and route information from high-volume streams of spoken and written information. The workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling were held in the Fall of 2000 at the University of Minnesota's NSF-sponsored Institute for Mathematics and Its Applications, as part of a "Mathematics in Multimedia" year-long program. Each workshop brought together researchers in the respective technologies on the one hand, and mathematicians and statisticians on the other hand, for an intensive week of cross-fertilization. There is a long history of benefit from introducing mathematical techniques and ideas to speech and language technologies. Examples include the source-channel paradigm, hidden Markov models, decision trees, exponential models and formal languages theory. It is likely that new mathematical techniques, or novel applications of existing techniques, will once again prove pivotal for moving the field forward. This volume consists of original contributions presented by participants during the two workshops. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.

Handbook of Natural Language Processing

Handbook of Natural Language Processing PDF Author: Nitin Indurkhya
Publisher: CRC Press
ISBN: 142008593X
Category : Business & Economics
Languages : en
Pages : 704

Book Description
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

Pattern Recognition by Humans and Machines

Pattern Recognition by Humans and Machines PDF Author: Eileen C. Schwab
Publisher: Academic Press
ISBN: 1483220109
Category : Reference
Languages : en
Pages : 336

Book Description
Pattern Recognition by Humans and Machines, Volume 1: Speech Perception covers perception from the perspectives of cognitive psychology, artificial intelligence, and brain theory. The book discusses on the research, theory, and the principal issues of speech perception; the auditory and phonetic coding of speech; and the role of the lexicon in speech perception. The text also describes the role of attention and active processing in speech perception; the suprasegmental in very large vocabulary word recognition; and the adaptive self-organization of serial order in behavior. The cognitive science and the study of cognition and language are also considered. Psychologists will find the book invaluable.

Intelligent Chinese Language Pattern and Speech Processing

Intelligent Chinese Language Pattern and Speech Processing PDF Author: P S-P Wang
Publisher: World Scientific
ISBN: 9814632228
Category :
Languages : en
Pages : 204

Book Description
For the past few years, there has been a growing interest in the study of artificial intelligence and rule-based expert systems. Their research and development have progressed very rapidly to a point where many theorems and principles can be applied to solve realistic problems. This volume, containing highly selected papers from the International Conference on Chinese and Oriental Languages Computing (1987) is perhaps the first one ever to systematically present papers and articles incorporating such intelligence technologies into Chinese language computing. The 12 articles are classified into 3 sections, namely, (1) knowledge–based systems, (2) speech processing and recognition, and (3) character recognition and knowledge pattern representation. Contents:Generating Chinese Responses in a Medical Question-Answering System (P Y Li & M Evens)Prolog–Based Chinese Expert Systems (L S Hsu)Word–Based Chinese Language Understanding System (T S Yao)Knowledge–Based Chinese Letter Writer (T T Koh)Recognition of Lexical Tones for Isolated Syllables and Disyllables in Mandarin Chinese (W J Yang et al.)A Logical Approach to Movement Transformations in Mandarin Chinese (H H Chen et al.)Efficient Speech Recognition Technique for the Finals of Mandarin Syllables (C–H Hwang et al.)Fast Chinese Characters Accessing Technique Using Mandarin Phonetic Transcriptions (C C Chang & H C Wu)System for On–Line Recognition of Chinese Characters (K–J Chen et al.)Stroke Relation Coding — A New Approach to the Recognition of Multi–Font Printed Chinese Characters (P-N Chen et al.) Knowledge Pattern Representation of Chinese Characters (P S-P Wang)Kanji Recognition Method which Detects Writing Errors (T Morishita et al.) Readership: Computer scientists.