Fundamentals of Speaker Recognition

Fundamentals of Speaker Recognition

Author: Homayoon Beigi

Publisher: Springer Science & Business Media

Published: 2011-12-09

Total Pages: 984

ISBN-13: 0387775927

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An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.


Book Synopsis Fundamentals of Speaker Recognition by : Homayoon Beigi

Download or read book Fundamentals of Speaker Recognition written by Homayoon Beigi and published by Springer Science & Business Media. This book was released on 2011-12-09 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.

Automatic Speech and Speaker Recognition

Automatic Speech and Speaker Recognition

Author: Chin-Hui Lee

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 524

ISBN-13: 1461313678

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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 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.

Machine Learning for Speaker Recognition

Machine Learning for Speaker Recognition

Author: Man-Wai Mak

Publisher: Cambridge University Press

Published: 2020-11-19

Total Pages: 329

ISBN-13: 1108642861

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This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.


Book Synopsis Machine Learning for Speaker Recognition by : Man-Wai Mak

Download or read book Machine Learning for Speaker Recognition written by Man-Wai Mak and published by Cambridge University Press. This book was released on 2020-11-19 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.

Robust Speaker Recognition in Noisy Environments

Robust Speaker Recognition in Noisy Environments

Author: K. Sreenivasa Rao

Publisher: Springer

Published: 2014-07-17

Total Pages: 0

ISBN-13: 9783319071299

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This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.


Book Synopsis Robust Speaker Recognition in Noisy Environments by : K. Sreenivasa Rao

Download or read book Robust Speaker Recognition in Noisy Environments written by K. Sreenivasa Rao and published by Springer. This book was released on 2014-07-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.

Automatic Speech and Speaker Recognition

Automatic Speech and Speaker Recognition

Author: Joseph Keshet

Publisher: John Wiley & Sons

Published: 2009-04-27

Total Pages: 268

ISBN-13: 9780470742037

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This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.


Book Synopsis Automatic Speech and Speaker Recognition by : Joseph Keshet

Download or read book Automatic Speech and Speaker Recognition written by Joseph Keshet and published by John Wiley & Sons. This book was released on 2009-04-27 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.

Forensic Speaker Recognition

Forensic Speaker Recognition

Author: Amy Neustein

Publisher: Springer Science & Business Media

Published: 2011-10-05

Total Pages: 546

ISBN-13: 1461402638

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Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism is an anthology of the research findings of 35 speaker recognition experts from around the world. The volume provides a multidimensional view of the complex science involved in determining whether a suspect’s voice truly matches forensic speech samples, collected by law enforcement and counter-terrorism agencies, that are associated with the commission of a terrorist act or other crimes. While addressing such topics as the challenges of forensic case work, handling speech signal degradation, analyzing features of speaker recognition to optimize voice verification system performance, and designing voice applications that meet the practical needs of law enforcement and counter-terrorism agencies, this material all sounds a common theme: how the rigors of forensic utility are demanding new levels of excellence in all aspects of speaker recognition. The contributors are among the most eminent scientists in speech engineering and signal processing; and their work represents such diverse countries as Switzerland, Sweden, Italy, France, Japan, India and the United States. Forensic Speaker Recognition is a useful book for forensic speech scientists, speech signal processing experts, speech system developers, criminal prosecutors and counter-terrorism intelligence officers and agents.


Book Synopsis Forensic Speaker Recognition by : Amy Neustein

Download or read book Forensic Speaker Recognition written by Amy Neustein and published by Springer Science & Business Media. This book was released on 2011-10-05 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism is an anthology of the research findings of 35 speaker recognition experts from around the world. The volume provides a multidimensional view of the complex science involved in determining whether a suspect’s voice truly matches forensic speech samples, collected by law enforcement and counter-terrorism agencies, that are associated with the commission of a terrorist act or other crimes. While addressing such topics as the challenges of forensic case work, handling speech signal degradation, analyzing features of speaker recognition to optimize voice verification system performance, and designing voice applications that meet the practical needs of law enforcement and counter-terrorism agencies, this material all sounds a common theme: how the rigors of forensic utility are demanding new levels of excellence in all aspects of speaker recognition. The contributors are among the most eminent scientists in speech engineering and signal processing; and their work represents such diverse countries as Switzerland, Sweden, Italy, France, Japan, India and the United States. Forensic Speaker Recognition is a useful book for forensic speech scientists, speech signal processing experts, speech system developers, criminal prosecutors and counter-terrorism intelligence officers and agents.

Speaker Classification I

Speaker Classification I

Author: Christian Müller

Publisher: Springer

Published: 2007-08-28

Total Pages: 358

ISBN-13: 354074200X

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This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.


Book Synopsis Speaker Classification I by : Christian Müller

Download or read book Speaker Classification I written by Christian Müller and published by Springer. This book was released on 2007-08-28 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume and its companion volume LNAI 4441 constitute a state-of-the-art survey in the field of speaker classification. Together they address such intriguing issues as how speaker characteristics are manifested in voice and speaking behavior. The nineteen contributions in this volume are organized into topical sections covering fundamentals, characteristics, applications, methods, and evaluation.

Fundamentals of Speech Recognition

Fundamentals of Speech Recognition

Author: Lawrence R. Rabiner

Publisher:

Published: 1993

Total Pages: 507

ISBN-13: 9788129701381

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Book Synopsis Fundamentals of Speech Recognition by : Lawrence R. Rabiner

Download or read book Fundamentals of Speech Recognition written by Lawrence R. Rabiner and published by . This book was released on 1993 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Encyclopedia of Biometrics

Encyclopedia of Biometrics

Author: Stan Z. Li

Publisher: Springer Science & Business Media

Published: 2009-08-27

Total Pages: 1466

ISBN-13: 0387730028

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With an A–Z format, this encyclopedia provides easy access to relevant information on all aspects of biometrics. It features approximately 250 overview entries and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information.


Book Synopsis Encyclopedia of Biometrics by : Stan Z. Li

Download or read book Encyclopedia of Biometrics written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2009-08-27 with total page 1466 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an A–Z format, this encyclopedia provides easy access to relevant information on all aspects of biometrics. It features approximately 250 overview entries and 800 definitional entries. Each entry includes a definition, key words, list of synonyms, list of related entries, illustration(s), applications, and a bibliography. Most entries include useful literature references providing the reader with a portal to more detailed information.

Speaker Recognition

Speaker Recognition

Author: Fouad Sabry

Publisher: One Billion Knowledgeable

Published: 2023-07-06

Total Pages: 157

ISBN-13:

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What Is Speaker Recognition The identification of a person based on the features of their voice is referred to as "speaker recognition." The purpose of this information is to provide an answer to the query "Who is speaking?" Speech recognition and speaker recognition are both included in the broader concept of voice recognition. Verification of a speaker is distinct from identification of a speaker, and recognition of a speaker is not the same as diarization of a speaker. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Speaker recognition Chapter 2: Speech recognition Chapter 3: Voice analysis Chapter 4: Authentication Chapter 5: Interactive voice response Chapter 6: Biometrics Chapter 7: Electronic authentication Chapter 8: Multi-factor authentication Chapter 9: BioAPI Chapter 10: PerSay (II) Answering the public top questions about speaker recognition. (III) Real world examples for the usage of speaker recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of speaker recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of speaker recognition.


Book Synopsis Speaker Recognition by : Fouad Sabry

Download or read book Speaker Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-06 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Speaker Recognition The identification of a person based on the features of their voice is referred to as "speaker recognition." The purpose of this information is to provide an answer to the query "Who is speaking?" Speech recognition and speaker recognition are both included in the broader concept of voice recognition. Verification of a speaker is distinct from identification of a speaker, and recognition of a speaker is not the same as diarization of a speaker. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Speaker recognition Chapter 2: Speech recognition Chapter 3: Voice analysis Chapter 4: Authentication Chapter 5: Interactive voice response Chapter 6: Biometrics Chapter 7: Electronic authentication Chapter 8: Multi-factor authentication Chapter 9: BioAPI Chapter 10: PerSay (II) Answering the public top questions about speaker recognition. (III) Real world examples for the usage of speaker recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of speaker recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of speaker recognition.