Marcos Faundez-Zanuy – författare

The book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order toidentify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, anddevelop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human–computer interaction (HCI) systems.This book is a valuable resource for a.  the research community, PhD students, early stage researchersc.  schools, hospitals, and rehabilitation and assisted-living centerse.  the ICT market, and representatives from multimedia industries

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community.Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques.This book is a valuable resource fora. The academic research communityb. The ICT marketc.  PhD students and early stage researchersd. Companies, research institutese. Representatives from industry and standardization bodies

This book presents recent advances in nonlinearspeech processing beyond nonlinear techniques. It shows that it exploitsheuristic and psychological models of human interaction in order to succeed inthe implementations of socially believable VUIs and applications for humanhealth and psychological support. The book takes into account themultifunctional role of speech and what is “outside of the box” (see BjörnSchuller’s foreword). To this aim, the book is organized in 6 sections, eachcollecting a small number of short chapters reporting advances “inside” and“outside” themes related to nonlinear speech research. The themes emphasizetheoretical and practical issues for modelling socially believable speechinterfaces, ranging from efforts to capture the nature of sound changes inlinguistic contexts and the timing nature of speech; labors to identify anddetect speech features that help in the diagnosis of psychological and neuronaldisease, attempts to improve the effectiveness and performance of Voice UserInterfaces, new front-end algorithms for the coding/decoding of effective andcomputationally efficient acoustic and linguistic speech representations, aswell as investigations capturing the social nature of speech in signalingpersonality traits, emotions and improving human machine interactions.

This book presents recent advances in nonlinearspeech processing beyond nonlinear techniques. It shows that it exploitsheuristic and psychological models of human interaction in order to succeed inthe implementations of socially believable VUIs and applications for humanhealth and psychological support. The book takes into account themultifunctional role of speech and what is “outside of the box” (see BjörnSchuller’s foreword). To this aim, the book is organized in 6 sections, eachcollecting a small number of short chapters reporting advances “inside” and“outside” themes related to nonlinear speech research. The themes emphasizetheoretical and practical issues for modelling socially believable speechinterfaces, ranging from efforts to capture the nature of sound changes inlinguistic contexts and the timing nature of speech; labors to identify anddetect speech features that help in the diagnosis of psychological and neuronaldisease, attempts to improve the effectiveness and performance of Voice UserInterfaces, new front-end algorithms for the coding/decoding of effective andcomputationally efficient acoustic and linguistic speech representations, aswell as investigations capturing the social nature of speech in signalingpersonality traits, emotions and improving human machine interactions.

The book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order toidentify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, anddevelop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human–computer interaction (HCI) systems.This book is a valuable resource for a.  the research community, PhD students, early stage researchersc.  schools, hospitals, and rehabilitation and assisted-living centerse.  the ICT market, and representatives from multimedia industries

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community.Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques.This book is a valuable resource fora. The academic research communityb. The ICT marketc.  PhD students and early stage researchersd. Companies, research institutese. Representatives from industry and standardization bodies

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.

We present in this volume the collection of ?nally accepted papers of NOLISP 2005 conference. It has been the third event in a series of events related to N- linear speech processing, in the framework of the European COST action 277 “Nonlinear speech processing”. Many speci?cs of the speech signal are not well addressed by conv- tional models currently used in the ?eld of speech processing. The purpose of NOLISP is to present and discuss novel ideas, work and results related to alternative techniques for speech processing, which depart from mainstream approaches. With this intention in mind, we provide an open forum for discussion. Alt- nate approaches are appreciated, although the results achieved at present may not clearly surpass results based on state-of-the-art methods. The call for papers was launched at the beginning of 2005, addressing the following domains: 1. Non-Linear Approximation and Estimation 2. Non-Linear Oscillators and Predictors 3. Higher-Order Statistics 4. Independent Component Analysis 5. Nearest Neighbors 6. Neural Networks 7. Decision Trees 8. Non-Parametric Models 9. Dynamics of Non-Linear Systems 10. Fractal Methods 11. Chaos Modeling 12. Non-Linear Di?erential Equations 13. Others All the main ?elds of speech processing are targeted by the workshop, namely: 1. Speech Coding:Thebit rateavailablefor speechsignalsmustbe strictly l- ited in order to accommodate the constraints of the channel resource.

This book constitutes of the major results of the EU COST (European Cooperation in the field of Scientific and Technical Research) Action 277: NSP, Nonlinear Speech Processing, running from April 2001 to June 2005. Coverage includes such areas as speech analysis for speech synthesis, speech recognition, speech-non speech discrimination and voice quality assessment, speech enhancement, and emotional state detection.

This volume brings together the invited papers and selected participants’ contributions presented at the COST 2102 International Workshop on “Verbal and Nonverbal Communication Behaviours”, held in Vietri sul Mare, Italy, March 29–31, 2007. The workshop was jointly organized by the Faculty of Science and the Faculty of Psychology of the Second University of Naples, Caserta, Italy, and the International Institute for Advanced Scientific Studies “Eduardo R. Caianiello”(IIASS), Vietri sul Mare, Italy. The workshop was a COST 2102 event, and it was mainly sponsored by the COST (European Cooperation in the Field of Scientific and Technical Research) Action 2102 in the domain of Information and Communication Technologies (ICT), as well as by the above-mentioned organizing Institutions. The main theme of the workshop was to discuss the fundamentals of verbal and nonverbal communication features and their relationships with the identification of a person, his/her socio-cultural background and personal traits. In the past decade, a number of different research communities within the psychological and computational sciences have tried to characterize human behaviour in face-to-face communication by several features that describe relationships between facial, prosodic/voice quality, formal and informal communication modes, cultural differences, individual and socio-cultural variations, stable personality traits and degrees of expressiveness and emphasis, as well as the individuation of the interlocutor’s emotional and psychological states.

This book constitutes the research papers presented at the Joint 2101 & 2102 International Conference on Biometric ID Management and Multimodal Communication. BioID_MultiComm'09 is a joint International Conference organized cooperatively by COST Actions 2101 & 2102. COST 2101 Action is focused on 'Biometrics for Identity Documents and Smart Cards (BIDS)', while COST 2102 Action is entitled 'Cross-Modal Analysis of Verbal and Non-verbal Communication'. The aim of COST 2101 is to investigate novel technologies for unsupervised multimodal biometric authentication systems using a new generation of biometrics-enabled identity documents and smart cards. COST 2102 is devoted to develop an advanced acoustical, perceptual and psychological analysis of verbal and non-verbal communication signals originating in spontaneous face-to-face interaction, in order to identify algorithms and automatic procedures capable of recognizing human emotional states.

The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human–computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing  verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotionmodulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human–computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.

Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotionmodulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human–computer interfaces.

This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human–machine interaction.At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible.The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry.

This book provides an overview of the current advances in artificial intelligence and neural nets. Artificial intelligence (AI) methods have shown great capabilities in modelling, prediction and recognition tasks supporting human–machine interaction.At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible.The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry.

This book illustrates recent advances in Neural Artificial Intelligent Theories and Applications discussed by selected papers presented at 30th edition of the International Workshops on Neural Network (WIRN 2023).

Such tools will support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios.