Fundamentals of Speaker Recognition

Author: Homayoon Beigi
Publisher: Springer Science & Business Media
ISBN: 0387775927
Format: PDF, ePub, Docs
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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.

Fundamentals of speech synthesis and speech recognition

Author: Éric Keller
Publisher: John Wiley & Sons Inc
ISBN:
Format: PDF, Kindle
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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.

Speaker Classification I

Author: Christian Müller
Publisher: Springer Science & Business Media
ISBN: 3540741860
Format: PDF, Kindle
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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.

Self Learning Speaker Identification

Author: Tobias Herbig
Publisher: Springer Science & Business Media
ISBN: 9783642198991
Format: PDF, ePub, Docs
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Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities of the system. This work introduces a reliable speaker identification which enables the speech recognizer to create robust speaker dependent models In addition, this book gives a new approach to solve the reverse problem, how to improve speech recognition if speakers can be recognized. The speaker identification enables the speaker adaptation to adapt to different speakers which results in an optimal long-term adaptation.

Robust Speech Recognition of Uncertain or Missing Data

Author: Dorothea Kolossa
Publisher: Springer Science & Business Media
ISBN: 9783642213175
Format: PDF, Docs
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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.

Statistical Methods for Speech Recognition

Author: Frederick Jelinek
Publisher: MIT Press
ISBN: 9780262100663
Format: PDF, ePub, Docs
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This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques.

Robustness in Automatic Speech Recognition

Author: Jean-Claude Junqua
Publisher: Springer Science & Business Media
ISBN: 1461312973
Format: PDF, ePub
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Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.

Wissensbasierte Systeme

Author: Wilfried Brauer
Publisher: Springer
ISBN: 9783540518389
Format: PDF, ePub, Docs
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Durch die Reihe der GI-Kongresse über wissensbasierte Systeme wird eine größere Öffentlichkeit über den Stand der Entwicklung sowohl in den Entwurfsmethoden und Konstruktionstechniken als auch in der industriellen Anwendung unterrichtet. Ein wichtiges Ziel ist dabei, auf das große Potential an Anwendungsmöglichkeiten hinzuweisen und intensivere Kooperation zwischen verschiedenen Gebieten anzuregen. Behandelt werden diesmal neben den Grundlagen, Entwicklungen und Anwendungen von Expertensystemen auch maschinelles Lernen, natürlichsprachliche Systeme und Konnektionismus. Einen großen Raum nimmt die Präsentation von Gemeinschaftsprojekten ein; insbesondere werden deutsche KI-Zentren, alle BMFT-Verbundprojekte im Bereich wissensbasierter Systeme und zahlreiche europäische Gemeinschaftsprojekte (EUREKA- und ESPRIT-Projekte) dargestellt. Dieses Buch wendet sich an alle, die Interesse an der Informatik und ihren Anwendungen haben. Es soll sowohl Wissenschaftler als auch Praktiker und mögliche Anwender informieren und zu fruchtbarer Diskussion und Zusammenarbeit stimulieren.

Automatic Speech Recognition of Arabic Phonemes with Neural Networks

Author: Mohammed Dib
Publisher: Springer
ISBN: 3319977105
Format: PDF, ePub, Mobi
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This book presents a contrastive linguistics study of Arabic and English for the dual purposes of improved language teaching and speech processing of Arabic via spectral analysis and neural networks. Contrastive linguistics is a field of linguistics which aims to compare the linguistic systems of two or more languages in order to ease the tasks of teaching, learning, and translation. The main focus of the present study is to treat the Arabic minimal syllable automatically to facilitate automatic speech processing in Arabic. It represents important reading for language learners and for linguists with an interest in Arabic and computational approaches.