Fundamentals Of Speaker Recognition


Fundamentals Of Speaker Recognition
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Fundamentals Of Speaker Recognition


Fundamentals Of Speaker Recognition
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Author : Homayoon Beigi
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-09

Fundamentals Of Speaker Recognition written by Homayoon Beigi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-09 with Technology & Engineering categories.


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.



Fundamentals Of Speech Recognition


Fundamentals Of Speech Recognition
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Author : Lawrence Rabiner
language : en
Publisher: Prentice Hall
Release Date : 1993

Fundamentals Of Speech Recognition written by Lawrence Rabiner and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Automatic speech recognition categories.


A theoretical, technical description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. The book covers areas including production, perception and acoustic-phonetic characterization of the speech signal and signal processing recognition.



Speaker Classification I


Speaker Classification I
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Author : Christian Müller
language : en
Publisher: Springer
Release Date : 2007-08-28

Speaker Classification I written by Christian Müller and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-28 with Computers categories.


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 1 E


Fundamentals Of Speech Recognition 1 E
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Author : Lawrence R. Rabiner
language : en
Publisher:
Release Date : 1993

Fundamentals Of Speech Recognition 1 E written by Lawrence R. Rabiner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Automatic speech recognition categories.




Speaker Recognition


Speaker Recognition
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-06

Speaker Recognition written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Computers categories.


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.



Fundamentals Of Speech Recognition


Fundamentals Of Speech Recognition
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Author : Rabiner
language : en
Publisher: Pearson Education India
Release Date : 2008-09

Fundamentals Of Speech Recognition written by Rabiner and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09 with categories.




Fundamentals Of Speech Signal Processing


Fundamentals Of Speech Signal Processing
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Author : Shūzō Saitō
language : en
Publisher:
Release Date : 1985

Fundamentals Of Speech Signal Processing written by Shūzō Saitō and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Auditory perception categories.




Fundamentals Of Speech Synthesis And Speech Recognition


Fundamentals Of Speech Synthesis And Speech Recognition
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Author : E. Keller
language : en
Publisher: John Wiley & Sons
Release Date : 1994-10-20

Fundamentals Of Speech Synthesis And Speech Recognition written by E. Keller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-10-20 with Computers categories.


The production of truly natural-sounding speech still poses considerable problems, and the reliable recognition of continuous speech is still open to major improvements. This text captures the essential elements of current research on artificial speech synthesis and recognition.



Automatic Speech And Speaker Recognition


Automatic Speech And Speaker Recognition
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Author : Joseph Keshet
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-27

Automatic Speech And Speaker Recognition written by Joseph Keshet and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-27 with Technology & Engineering categories.


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.



Robust Speech Recognition Of Uncertain Or Missing Data


Robust Speech Recognition Of Uncertain Or Missing Data
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Author : Dorothea Kolossa
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-14

Robust Speech Recognition Of Uncertain Or Missing Data written by Dorothea Kolossa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-14 with Technology & Engineering categories.


Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but also an estimate of its reliability to selectively focus on those segments and features that are most reliable for recognition. This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition. The book is appropriate for scientists and researchers in the field of speech recognition who will find an overview of the state of the art in robust speech recognition, professionals working in speech recognition who will find strategies for improving recognition results in various conditions of mismatch, and lecturers of advanced courses on speech processing or speech recognition who will find a reference and a comprehensive introduction to the field. The book assumes an understanding of the fundamentals of speech recognition using Hidden Markov Models.