This thesis discusses the privacy issues in speech-based applications such as biometric authentication, surveillance, and external speech processing services. Author Manas A. Pathak presents solutions for privacy-preserving speech processing applications such as speaker verification, speaker identification and speech recognition. The author also introduces some of the tools from cryptography and machine learning and current techniques for improving the efficiency and scalability of the presented solutions. Experiments with prototype implementations of the solutions for execution time and accuracy on standardized speech datasets are also included in the text. Using the framework proposed may now make it possible for a surveillance agency to listen for a known terrorist without being able to hear conversation from non-targeted, innocent civilians."
The accurate determination of the speech spectrum, particularly for short frames, is commonly pursued in diverse areas including speech processing, recognition, and acoustic phonetics. With this book the author makes the subject of spectrum analysis understandable to a wide audience, including those with a solid background in general signal processing and those without such background. In keeping with these goals, this is not a book that replaces or attempts to cover the material found in a general signal processing textbook. Some essential signal processing concepts are presented in the first chapter, but even there the concepts are presented in a generally understandable fashion as far as is possible. Throughout the book, the focus is on applications to speech analysis; mathematical theory is provided for completeness, but these developments are set off in boxes for the benefit of those readers with sufficient background. Other readers may proceed through the main text, where the key results and applications will be presented in general heuristic terms, and illustrated with software routines and practical "show-and-tell" discussions of the results. At some points, the book refers to and uses the implementations in the Praat speech analysis software package, which has the advantages that it is used by many scientists around the world, and it is free and open source software. At other points, special software routines have been developed and made available to complement the book, and these are provided in the Matlab programming language. If the reader has the basic Matlab package, he/she will be able to immediately implement the programs in that platform---no extra "toolboxes" are required.
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This comprehensive book ties strong academic foundations directly to their clinical application for speech/language therapists working with speech sound disorders. Each chapter presents tools to help readers bridge the gap between theoretical issues and clinical applications by presenting Clinical Applications, Clinical Exercises, Case Studies, and a section called Think Critically, which asks students to further apply specific clinical concepts. Test Yourself multiple choice questions appear at the end of each chapter and are ideal for review and assessment of the knowledge presented in the chapters, and Further Readings allow readers to continue to expand their knowledge.
The new Fifth Edition of Articulation and Phonology in Speech Sound Disordersreflects the current use of the term "speech sound disorder," an umbrella term for what was previously noted as articulation- and phonemic-based disorders. Also included is an in-depth review of the phonotactics of American English; increased focus on topics which have gained recognition with the field; an expanded chapter on the Treatment of Phonemic-Based Speech Sound Disorders (Chapter 10); an updated chapter on Speech Sound Disorders in Selected populations; and the addition of several videos in the Enhanced Pearson eText which support the content of the chapter and allow more clinical and transcription exercise for students.
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