Master's Theses and Doctoral Dissertations in the Pure and Applied Sciences PDF Download
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 454
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 454
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Book Description
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 466
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Book Description
Author:
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 460
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Book Description
Author: Ravi P. Ramachandran
Publisher: Springer Science & Business Media
ISBN: 1461522811
Category : Technology & Engineering
Languages : en
Pages : 471
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Book Description
The term speech processing refers to the scientific discipline concerned with the analysis and processing of speech signals for getting the best benefit in various practical scenarios. These different practical scenarios correspond to a large variety of applications of speech processing research. Examples of some applications include enhancement, coding, synthesis, recognition and speaker recognition. A very rapid growth, particularly during the past ten years, has resulted due to the efforts of many leading scientists. The ideal aim is to develop algorithms for a certain task that maximize performance, are computationally feasible and are robust to a wide class of conditions. The purpose of this book is to provide a cohesive collection of articles that describe recent advances in various branches of speech processing. The main focus is in describing specific research directions through a detailed analysis and review of both the theoretical and practical settings. The intended audience includes graduate students who are embarking on speech research as well as the experienced researcher already working in the field. For graduate students taking a course, this book serves as a supplement to the course material. As the student focuses on a particular topic, the corresponding set of articles in this book will serve as an initiation through exposure to research issues and by providing an extensive reference list to commence a literature survey. Expe rienced researchers can utilize this book as a reference guide and can expand their horizons in this rather broad area.
Author: Alexander Waibel
Publisher: Morgan Kaufmann
ISBN: 9781558601246
Category : Computers
Languages : en
Pages : 664
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Book Description
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 ...
Author:
Publisher:
ISBN:
Category : Optical pattern recognition
Languages : en
Pages : 1202
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Book Description
Author: Hervé A. Bourlard
Publisher: Springer Science & Business Media
ISBN: 1461532108
Category : Technology & Engineering
Languages : en
Pages : 329
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Book Description
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.
Author: James L Flanagan
Publisher: Springer Science & Business Media
ISBN: 3662015625
Category : Science
Languages : en
Pages : 458
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Book Description
The first edition of this book has enjoyed a gratifying existence. 1s sued in 1965, it found its intended place as a research reference and as a graduate-Ievel text. Research laboratories and universities reported broad use. Published reviews-some twenty-five in number-were universally kind. Subsequently the book was translated and published in Russian (Svyaz; Moscow, 1968) and Spanish (Gredos, S.A.; Madrid, 1972). Copies of the first edition have been exhausted for several years, but demand for the material continues. At the behest of the publisher, and with the encouragement of numerous colleagues, a second edition was begun in 1970. The aim was to retain the original format, but to expand the content, especially in the areas of digital communications and com puter techniques for speech signal processing. As before, the intended audience is the graduate-Ievel engineer and physicist, but the psycho physicist, phonetician, speech scientist and linguist should find material of interest.
Author: F.A. Westall
Publisher: Springer
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 518
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Book Description
Digital Signal Processing in Telecommunications aims to provide a practical insight into the way in which digital signal processing (DSP) technology is exploited across a broad range of telecommunications applications. The book also provides relevant background, as well as state-of-the-art material on recent and future development of DSP technology and applications.
Author: Norman Lass
Publisher: Elsevier
ISBN: 0323147550
Category : Science
Languages : en
Pages : 513
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Book Description
Contemporary Issues in Experimental Phonetics provides comprehensive coverage of a number of research topics on experimental phonetics. This book is divided into four parts. Part I describes the instrumentation systems employed in the study of speech acoustics and speech physiology. The models, aerodynamic principles, and peripheral physiological mechanisms of speech production are discussed in Part II. Part III explains the problems in the specifications of the acoustic characteristics of speech sounds and suprasegmental features of speech. The speech perception process, speaker recognition, theories on the nature of the dichotic right ear advantage, and errors in auditory perception are elaborated in the last chapter. This text likewise covers the measurement of temporal processing in speech perception and interrelationship of speech, hearing, and language in an understanding of the total human communication process. This publication is valuable to speech and hearing scientists, speech pathologists, audiologists, psychologists, linguists, and graduate students researching on experimental phonetics.
