Gérard Chollet – författare

Voice biometrics are being implemented globally in large scale applications such as remote banking, government e-services, transportation and building security access, autonomous vehicles, and healthcare. They have been integrated in numerous apps, often coupled with face biometrics and artificial intelligence methods. Voice biometrics products and solutions must meet three key requirements for the success in their deployment: they must be highly trustable regarding privacy protection; easy to use and always be available.This edited book presents the state of the art in voice biometrics research and technologies including implementation and deployment challenges in terms of interoperability, scalability and performance, and security. The team of editors and chapter authors combine a wealth of expertise from academia and the industry. Topics covered include the fundamentals of voice biometrics; design of countermeasures for replay attack; attacker's perspective for voice biometrics; voice biometrics; speaker de-identification; performance evaluation of voice biometrics solutions; standardization of voice biometrics technology; industry perspectives; joining forces of voice and facial biometrics; and future trends and challenges in voice biometrics.Providing comprehensive coverage of the field of voice biometrics, this authoritative volume will be of great interest to researchers, scientists, engineers, practitioners and advanced students involved in the fields of security, biometrics, forensic sciences, human computer interaction, speech processing, acoustics, multimedia, pattern recognition, and privacy-preserving, digital signal processing and speech technologies. It will also be of interest to researchers and professionals working in law and criminology.

With the pioneering studies of Galton and Henry on ?ngerprint-based human id- ti?cation over a hundred years ago, biometrics recognition is now permeating many sectors of our society. Even though the origins and the most frequent use of b- metrics, primarily ?ngerprints, have been in forensics and law enforcement app- cations, biometric recognition is now needed to address a number of societal pr- lems related to security risks, terror threats and ?nancial fraud. In some situations, for example, detecting duplicate enrolments (for issuing of?cial documents such as passports and driver licenses), biometrics is the only method to con?rm that an - plicant has not been previously enrolled in the database. In addition to ?ngerprints, new anatomical and behavioral traits, viz. , face, iris, voice and hand shape have also become popular. Biometrics recognition is an excellent proving ground for pattern recognition. While pattern recognition systems have been available for document imaging, speech recognition, medical image analysis, remote sensing and variety of insp- tion tasks, no other application domain offers as many challenges as the biometrics domain.

With the pioneering studies of Galton and Henry on ?ngerprint-based human id- ti?cation over a hundred years ago, biometrics recognition is now permeating many sectors of our society. Even though the origins and the most frequent use of b- metrics, primarily ?ngerprints, have been in forensics and law enforcement app- cations, biometric recognition is now needed to address a number of societal pr- lems related to security risks, terror threats and ?nancial fraud. In some situations, for example, detecting duplicate enrolments (for issuing of?cial documents such as passports and driver licenses), biometrics is the only method to con?rm that an - plicant has not been previously enrolled in the database. In addition to ?ngerprints, new anatomical and behavioral traits, viz. , face, iris, voice and hand shape have also become popular. Biometrics recognition is an excellent proving ground for pattern recognition. While pattern recognition systems have been available for document imaging, speech recognition, medical image analysis, remote sensing and variety of insp- tion tasks, no other application domain offers as many challenges as the biometrics domain.

This volume contains papers from researchers and selected students discussing the experiments, theories and perspectives of acoustic phonetics as well as techniques in the field of speech science and technology. Topics covered in this book include: fundamentals of speech analysis and perception; speech processing; stochastic models for speech auditory and neural network models for speech; and task-oriented applications of automatic speech recognition and synthesis.

This volume contains invited and contributed papers presented at the 9th International Summer School "Neural Nets E.R. Caianiello" on Nonlinear Speech Processing: Al- rithms and Analysis, held in Vietri sul Mare, Salerno, Italy, during September 13-18, 2004. The aim of this book is to provide primarily high-level tutorial coverage of the ?elds related to nonlinear methods for speech processing and analysis, including new approaches aimed at improving speech applications. Fourteen surveys are offered by specialists in the ?eld. Consequently, the volume may be used as a reference book on nonlinear methods for speech processing and an- ysis. Also included are ?fteen papers that present original contributions in the ?eld and complete the tutorials. The volume is divided into ?ve sections: Dealing with Nonlinearities in Speech S- nal, Acoustic-to-Articulatory Modeling of Speech Phenomena, Data Driven and Speech Processing Algorithms, Algorithms and Models Based on Speech Perception Mec- nisms, and Task-Oriented Speech Applications.Dealing with Nonlinearities in Speech Signals is an introductory section where n- linear aspects of the speech signal are introduced from three different points of view. The section includes three papers. The ?rst paper, authored by Anna Esposito and Maria Marinaro, is an attempt to introduce the concept of nonlinearity revising several nonl- ear phenomena observed in the acoustics, the production and the perception of speech. Also discussed is the engineering endeavor to model these phenomena.

Automatic and reliable authentication of individuals is becoming an essential part of the modern world, for security and convenience in our life, in our work andin society.Biometrics-basedsystems utilize physiologicalorbehavioralch- acteristics of an individual including the face, iris, ?ngerprint, palmprint, hand, voice, signature, or a combination of them, for this task. We are now seeing increasing interest and practical deployment of biometric systems. TheInternationalWorkshoponBiometricRecognitionSystems(IWBRS2005) was held in conjunction with ICCV 2005, providing an interactive forum for leading biometrics researchersand system designers.A biometric authentication competition (BAC) was conducted by the workshopto track the state-of-the-art biometrics technologies. This volume of workshop proceedings includes 32 papers carefully selected from a total of 130 submissions. The papers address the problems in face, iris, ?ngerprint, palmprint, speech, writing and other biometrics, and contribute new ideastoresearchanddevelopmentofreliableandpracticalsolutionsforbiometric authentication.We would like to express our gratitude to all the contributors, reviewers, and ProgramCommittee and OrganizingCommittee members who made this a very successful workshop. We also wish to acknowledge the Institute of Automation, ChineseAcademyofSciences,andSpringerforsponsoringthisworkshop.Special thanks are due to Miao Hong, Xin Yang, Zhuoshi Wei, Yinghao Cai, Zhaofeng He, Cheng Zhong, Shiqi Yu and Xianchao Qiu for their hard work in workshop organization. We hope you could bene?t from the fruitful workshop to improve the perf- mance of your biometric systems.

This book constitutes the refereed proceedings of the First International Conference on Audio- and Video-based Biometric Person Authentication, AVBPA'97, held in Crans-Montana, Switzerland, in March 1997.The 49 revised papers presented were carefully reviewed and selected by the program committee for inclusion in the book; also included are four invited contributions. The papers are organized in sections on facial features localisation, lip and facial motion, visual non-face biometrics, face-based authentication, text-dependent speaker authentication, text-independent authentication, audio-video features and fusion, and systems and applications.