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Advanced Intelligent Environments describes the latest research results in scientific disciplines that relate to the development of intelligent environments, as well as their application to various aspects and domains of everyday life. The book broadcasts the vision of intelligent environments that support human activity; its chapters provide a comprehensive view of state-of the-art research in related key disciplines, such as ubiquitous computing, networking, artificial intelligence, and architecture. The material covers many key topics in the field of intelligent environments including system design and development, prototype deployment and evaluation, architectural design and studies on human factors, and also includes scenarios, visions and roadmaps. The book chapters, which are extended versions of the best papers presented at the 3rd International Conference on Intelligent Environments (IE07) held at Ulm University (Germany), provide a synthetic perspective on research and developments in these areas. Advanced Intelligent Environments is a useful reference for researchers, academics and engineers in information sciences, architecture, and other disciplines related to the intelligent environments field.

Artificial intelligence. --- Computers. --- Intelligence. --- Robotics. --- Ambient intelligence --- Artificial intelligence --- Virtual reality --- Computer simulation --- Engineering & Applied Sciences --- Computer Science --- Expert systems (Computer science) --- Ambient intelligence. --- Ubiquitous computing. --- Pervasive computing --- UbiComp (Computer science) --- AmI (Ambient intelligence) --- Intelligence, Ambient --- Knowledge-based systems (Computer science) --- Systems, Expert (Computer science) --- Engineering. --- Computer organization. --- Computer communication systems. --- Coding theory. --- Microwaves. --- Optical engineering. --- Electrical engineering. --- Communications Engineering, Networks. --- Computer Systems Organization and Communication Networks. --- Computer Communication Networks. --- Signal, Image and Speech Processing. --- Microwaves, RF and Optical Engineering. --- Coding and Information Theory. --- Electronic data processing --- Embedded computer systems --- Human-computer interaction --- Ubiquitous computing --- Computer systems --- Soft computing --- Distributed processing --- Voice computing --- Telecommunication. --- Computer network architectures. --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Hertzian waves --- Electric waves --- Electromagnetic waves --- Geomagnetic micropulsations --- Radio waves --- Shortwave radio --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Telecommuting --- Signal processing. --- Image processing. --- Speech processing systems. --- Information theory. --- Communication theory --- Cybernetics --- Mechanical engineering --- 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 --- Electric engineering --- Engineering --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Information networks --- Cyberinfrastructure --- Network computers --- Organization, Computer --- Electronic digital computers

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Domain-Level Reasoning for Spoken Dialogue Systems provides a logic‐based reasoning component for spoken language dialogue systems. This component, called the Problem Assistant is responsible for processing constraints on a possible solution obtained from various sources, namely user and the system's domain-specific information. The authors present findings on the implementation of a dialogue management interface to the Problem Assistant. The dialogue system supports simple mixed‐initiative planning interactions in the TRAINS domain, which is still a relatively complex domain involving a number of logical constraints and relations forming the basis for the collaborative problem-solving behavior that drives the dialogue. The book also: Presents novel methods for enabling spoken dialogue systems to construct and manage complex tasks and interdependencies with different applications Describes late-breaking research on next-generation spoken dialogue systems Investigates how spoken dialogue systems may be improved in terms of usability and user friendliness  .

Automatic speech recognition. --- Computational linguistics. --- Linguistic analysis (Linguistics). --- Natural language processing (Computer science). --- Speech processing systems. --- Natural language processing (Computer science) --- Automatic speech recognition --- Speech processing systems --- Engineering & Applied Sciences --- Computer Science --- Mechanical speech recognizer --- Speech recognition, Automatic --- NLP (Computer science) --- Engineering. --- User interfaces (Computer systems). --- Computational intelligence. --- Computational Intelligence. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Language Translation and Linguistics. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Construction --- Industrial arts --- Technology --- Data processing --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Electronic data processing --- Semantic computing --- Computer science. --- Natural Language Processing (NLP). --- Informatics --- Science --- Signal processing. --- Image processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)

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Time-Domain Beamforming and Blind Source Separation addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. While existing techniques require a Double-Talk Detector (DTD) that interrupts the adaptation when the target is active, the described method addresses the separation problem using continuous, uninterrupted adaptive algorithms. With this approach, algorithm development is much simpler since no detection mechanism needs to be designed and needs no threshold to be tuned. Also, performance can be improved due to the adaptation during periods of double-talk. The authors use two techniques to achieve these results: implicit beamforming, which requires the position of the target speaker to be known; and time-domain blind-source separation (BSS), which exploits second-order statistics of the source signals. In combination, beamforming and BSS can be used to develop novel algorithms. Emphasis is placed on the development of an algorithm that combines the benefits of both approaches. The book presents experimental results obtained with real in-car microphone recordings involving simultaneous speech of the driver and the co-driver. In addition, experiments with background noise have been carried out in order to assess the robustness of the considered methods in noisy conditions.

Blind source separation. --- Mobile communication systems. --- Signal processing. --- Speech processing systems. --- Blind source separation --- Speech processing systems --- Mobile communication systems --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Telecommunications --- Applied Physics --- Vehicles --- Vehicular communication systems --- Blind signal separation --- BSS (Blind source separation) --- Communication systems --- Telecommunication. --- Acoustics. --- Computer engineering. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- Electrical Engineering. --- Computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Communication --- Information theory --- Telecommuting --- Design and construction --- Radio --- Wireless communication systems --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Source separation (Signal processing) --- Image processing. --- Electrical engineering. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering

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In Monitoring Adaptive Spoken Dialog Systems, authors Alexander Schmitt and Wolfgang Minker investigate statistical approaches that allow for recognition of negative dialog patterns in Spoken Dialog Systems (SDS). The presented stochastic methods allow a flexible, portable and  accurate use.  Beginning with the foundations of machine learning and pattern recognition, this monograph examines how frequently users show negative emotions in spoken dialog systems and develop novel approaches to speech-based emotion recognition using hybrid approach to model emotions. The authors make use of statistical methods based on acoustic, linguistic and contextual features to examine the relationship between the interaction flow and the occurrence of emotions using non-acted  recordings several thousand real users from commercial and non-commercial SDS. Additionally, the authors present novel statistical methods that spot problems within a dialog based on interaction patterns. The approaches enable future SDS to offer more natural and robust interactions. This work provides insights, lessons and  inspiration for future research and development, not only for spoken dialog systems, but for data-driven approaches to human-machine interaction in general.

Adaptive computing systems. --- Automatic speech recognition. --- Human-computer interaction. --- Automatic speech recognition --- Human-computer interaction --- Adaptive computing systems --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Applied Physics --- Telecommunications --- Speech processing systems. --- Engineering. --- Data mining. --- User interfaces (Computer systems). --- Computer graphics. --- Signal, Image and Speech Processing. --- Data Mining and Knowledge Discovery. --- User Interfaces and Human Computer Interaction. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers

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Speech and Human-Machine Dialog focuses on the dialog management component of a spoken language dialog system. Spoken language dialog systems provide a natural interface between humans and computers. These systems are of special interest for interactive applications, and they integrate several technologies including speech recognition, natural language understanding, dialog management and speech synthesis. Due to the conjunction of several factors throughout the past few years, humans are significantly changing their behavior vis-à-vis machines. In particular, the use of speech technologies will become normal in the professional domain, and in everyday life. The performance of speech recognition components has also significantly improved. This book includes various examples that illustrate the different functionalities of the dialog model in a representative application for train travel information retrieval (train time tables, prices and ticket reservation). Speech and Human-Machine Dialog is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Speech processing systems. --- Automatic speech recognition. --- Human-machine systems. --- Human-computer interaction. --- Computational linguistics. --- Social sciences. --- Semantics. --- Artificial intelligence. --- Signal, Image and Speech Processing. --- Computational Linguistics. --- Social Sciences, general. --- Artificial Intelligence. --- Signal processing. --- Image processing. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Formal semantics --- Semasiology --- Semiology (Semantics) --- Comparative linguistics --- Information theory --- Language and languages --- Lexicology --- Meaning (Psychology) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Automatic language processing --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- 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) --- Data processing