41 products were found matching your search for Speech Recognition in 3 shops:

Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.

Turn your recordings into text quickly, easily and accurately with this VoiceTracer speech-recognition software. Automatic transcription is up to three times faster than typing to save hours of tedious work. 99 percent recognition accuracy ensures your transcriptions are seamless to prevent typos. Plus, it continues to learn and improve accuracy by memorizing patterns in speech for increased consistency. Speech-recognition software is designed for all Philips VoiceTracer audio recorders (sold separately).

Book is in NEW condition. 0.94

A concise overview of the growing field of speech recognition systems, from one if its experts. The text explains how voice user interfaces differ from traditional computer user interfaces, and how they are better than touch-tone systems.

Acceptable/Fair condition. Book is worn, but the pages are complete, and the text is legible. Has wear to binding and pages, may be ex-library. 2.83

Unread, some shelfwear. Immediately dispatched from Germany

Book is in NEW condition. 2.73

Explains and discusses how human speakers and listeners process speech and language. Focuses on those elements of current research which have the most bearing on future developments in the production of truly natural-sounding speech and the reliable recognition of continuous speech. Presents a concise and clear introduction to this increasingly complex and interdisciplinary field.

Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier.

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.

Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier.

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.

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.

Market: Engineers and researchers in neural networks, image processing, audio/speech, and medical imaging. This book begins by focusing on the theoretical aspect of pattern recognition and introduces an integrated pattern recognition paradigm, which combines preprocessing, low dimensional signal characterization, feature optimization, and mapping classifier architecture to good features in a seamless fashion. Later, the authors reinforce the concepts of pattern recognition and prediction with challenging real- world examples, encompassing financial market prediction, image coding, active and passive sonar processing, chaos modeling, and intelligent product design.

2011 Reprint of 1898 Edition. Full facsimile of the original edition, not reproduced with Optical Recognition Software. Many consider Bullinger's handbook to be the best one on the subject. According to Walter Kaiser, "this book should be on every exegete's shelf alongside the Greek and Hebrew lexicons and grammars." Bullinger sets out 217 distinct figures of speech present in Scripture. He gives for each the pronunciation and etymology of its name, and then a number of passages of Scripture in which it appears, accompanied by a full explanation. In all, nearly eight thousand passages are thus cited.

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.   An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.   Supplements:   Click on the "Resources" tab to View Downloadable Files: Solutions Power Point Lecture Slides - Chapters 1-5, 8-10, 12-13 and 24 Now Available! For additional resourcse visit the author website: http://www.cs.colorado.edu/~martin/slp.html 

2011 Reprint of 1898 Edition. Full facsimile of the original edition, not reproduced with Optical Recognition Software. Many consider Bullinger's handbook to be the best one on the subject. According to Walter Kaiser, "this book should be on every exegete's shelf alongside the Greek and Hebrew lexicons and grammars." Bullinger sets out 217 distinct figures of speech present in Scripture. He gives for each the pronunciation and etymology of its name, and then a number of passages of Scripture in which it appears, accompanied by a full explanation. In all, nearly eight thousand passages are thus cited.

Winston Churchill's visit to Fulton, Missouri, on March 5, 1946, marked the first public recognition of the cold war that was to follow World War II. Churchill delivered his most famous speech, "The Sinews of Peace," which became best known by the phrase he used to describe the cold-war division of Europe, the "iron curtain."In the United States and Britain, wartime alliances had fostered favorable feelings toward the Soviet Union. By 1946 democratic citizens on both sides of the Atlantic had begun to consider communist Russia a friend. In his speech at Fulton, Churchill exhibited breathtaking flexibility and a clear recognition of the main threat as he reminded the public that true friendship must be reserved for countries sharing a common love of liberty. The "Iron Curtain" speech defined postwar relations with the Soviet Union for citizens of Western democracies. Although it initially provoked intense controversy in the United States and Britain, criticism soon gave way to wide public agreement to oppose Soviet imperialism.Opening with the full text of the address Churchill delivered in Fulton and concluding with Margaret Thatcher's fiftieth-anniversary address surveying the challenges facing Western democracies in this post-cold war climate, the book brings together essays that reflect on the past fifty years, recognizing Churchill's speech as a carefully conceived herald of the cold war for the Western democracies. These powerful essays offer a fresh appreciation of the speech's political, historical, diplomatic, and rhetorical significance.

Although speech is the primary behavioral medium by which humans communicate, its auditory basis is poorly understood, having profound implications on efforts to ameliorate the behavioral consequences of hearing impairment and on the development of robust algorithms for computer speech recognition. In this volume, the authors provide an up-to-date synthesis of recent research in the area of speech processing in the auditory system, bringing together a diverse range of scientists to present the subject from an interdisciplinary perspective. Of particular concern is the ability to understand speech in uncertain, potentially adverse acoustic environments, currently the bane of both hearing aid and speech recognition technology. There is increasing evidence that the perceptual stability characteristic of speech understanding is due, at least in part, to elegant transformations of the acoustic signal performed by auditory mechanisms. As a comprehensive review of speech's auditory basis, this book will interest physiologists, anatomists, psychologists, phoneticians, computer scientists, biomedical and electrical engineers, and clinicians.

  For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.   An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology — at all levels and with all modern technologies — this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.   Supplements:   Click on the "Resources" tab to View Downloadable Files: Solutions (available 8/15/08) Power Point Lecture Slides (available 8/15/08) For additional resources visit the author website: http://www.cs.colorado.edu/~martin/slp.html