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Advances for In-Vehicle and Mobile Systems: Challenges for International Standards is organized to bring together the most active scholars working on the latest techniques, standards, and emerging deployment on "living in the age of wireless communications and smart vehicular systems." The objective is to incorporate speech, dialog, video, image, vehicular sensory data, and wireless communication modalities to model the total behavior of the driver and use that model towards personalization of the vehicle to provide a more comfortable and safer driving experience. The format of this work centers on four themes: driver and driving environment recognition, telecommunication applications, noise reduction, and dialog in vehicles. Advances for In-Vehicle and Mobile Systems: Challenges for International Standards is appropriate for researchers, engineers, and professionals working in signal processing technologies, next generation vehicle design, and networks for mobile platforms.

Engineering. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Communications Engineering, Networks. --- Computer science. --- Telecommunication. --- Ingénierie --- Informatique --- Télécommunications --- Automobiles -- Electronic equipment -- Congresses. --- Automotive telematics -- Congresses. --- Electronic books. -- local. --- Mobile communication systems -- Congresses. --- Motor vehicles -- Electronic equipment -- Congresses. --- Signal processing -- Digital techniques -- Congresses. --- Automobiles --- Motor vehicles --- Automotive telematics --- Mobile communication systems --- Signal processing --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Mechanical Engineering --- Telecommunications --- Applied Physics --- Electrical Engineering --- Automotive Engineering --- Electronic equipment --- Digital techniques --- Telematics, Automotive --- Telematics --- User interfaces (Computer systems). --- Automotive engineering. --- Electrical engineering. --- Automotive Engineering. --- Electrical Engineering. --- Computer engineering. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Informatics --- Science --- Computers --- Construction --- Industrial arts --- Technology --- Design and construction --- Signal processing. --- Image processing. --- Speech processing systems. --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Electric engineering --- Engineering

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Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references. This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from speech coding for communications systems to biomedical applications of speech analysis and recognition. Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

Speech processing systems. --- Discrete-time systems. --- Vibrations

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Mass communications --- Computer. Automation --- beeldverwerking --- signal processing --- informatica --- communicatietechnologie --- signaalverwerking

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This is an edited collection by world-class experts, from diverse fields, focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. The book presents developments on road safety, in-vehicle technologies and state-of-the art systems. Includes coverage of DSP technologies in adaptive automobiles, algorithms and evaluation of in-car communication systems, driver-status monitoring and stress detection, in-vehicle dialogue systems and human-machine interfaces, challenges in video and audio processing for in-vehicle products, multi-sensor fusion for driver identification and vehicle to infrastructure wireless technologies.

Telecommunication technology --- Applied physical engineering --- Transport engineering --- Engineering sciences. Technology --- Mass communications --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- computers --- informatica --- tekstverwerking --- controleleer --- motorrijtuigen --- ingenieurswetenschappen --- computerkunde --- communicatietechnologie --- signaalverwerking

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Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features: Recent advances in Smart-Car technology - vehicles that take into account and conform to the driver Driver-vehicle interfaces that take into account the driving task and cognitive load of the driver Best practices for In-Vehicle Corpus Development and distribution Information on multi-sensor analysis and fusion techniques for robust driver monitoring and driver recognition Knowledge distribution for vehicle-to-vehicle and vehicle-to-infrastructure communications Digital Signal Processing for In-Vehicle Systems and Safety  is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, man-machine interfaces, human factors and transportation engineering.

Transport engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- signal processing --- controleleer --- motorrijtuigen --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- signaalverwerking