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Progress in Nonlinear Speech Processing
Authors: --- ---
ISBN: 9783540715054 Year: 2007 Publisher: Berlin, Heidelberg Springer-Verlag Berlin Heidelberg

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Abstract

The last meeting of the Management Committee of the COST Action 277: Nonlinear Speech Processing was held in Heraklion,Crete, Greece, September 20-23, 2005 during the Workshop on Nonlinear Speech Processing (WNSP). This was the last event of COST Action 277. The Action started in 2001. D- ing the workshop, members of the Management Committee and invited spe- ers presented overviews of their work during these four years (2001-2005) of research combining linear and nonlinear approaches for processing the speech signal. In this book, 13 contributions summarize part of this (mainly) Eu- pean e?ort in this ?eld. The aim of this book is to provide an additional and/or an alternative way to the traditional approach of linear speech processing to be used by researchers working in the domain. For all the chapters presented here, except Chaps. 4, 5, and 12, there is audiovisual material available at http://www. ics. forth. gr/wnsp05/index. html, where corresponding lectures and Power Point presentations are available by the authors. The contributions cover the following areas: 1. Speech analysis for speech synthesis, speech recognition, speech-non-speech discrimination and voice quality assessment 2. Speaker recognition/veri?cation from a natural or modi?ed speech signal 3. Speech recognition 4. Speech enhancement 5. Emotional state detection Speech Analysis Although in many speech applications the estimation of the glottal waveform is veryuseful,theestimationofthissignalisnotalwaysrobustandaccurate. Given a speech signal,the glottalwaveformmay be estimated throughinverse?ltering.


Book
Neural Advances in Processing Nonlinear Dynamic Signals
Authors: --- --- ---
ISBN: 3319950983 3319950975 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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 for a. The academic research community b. The ICT market c. PhD students and early stage researchers d. Companies, research institutes e. Representatives from industry and standardization bodies.


Book
Quantifying and Processing Biomedical and Behavioral Signals
Authors: --- --- ---
ISBN: 3319950959 3319950940 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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 to identify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and develop 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 researchers c. schools, hospitals, and rehabilitation and assisted-living centers e. the ICT market, and representatives from multimedia industries.


Book
Neural Approaches to Dynamics of Signal Exchanges
Authors: --- --- ---
ISBN: 9811389500 9811389497 Year: 2020 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

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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, emotion modulation 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.

Keywords

Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Computational intelligence. --- Machine learning. --- Neural networks (Computer science) . --- User interfaces (Computer systems). --- Engineering mathematics. --- Artificial intelligence. --- Computer logic. --- Computational Intelligence. --- Machine Learning. --- Mathematical Models of Cognitive Processes and Neural Networks. --- User Interfaces and Human Computer Interaction. --- Engineering Mathematics. --- Logic in AI. --- Computer science logic --- Logic, Symbolic and mathematical --- 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 --- Engineering --- Engineering analysis --- Mathematical analysis --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Learning, Machine --- Intelligence, Computational --- Mathematics --- Neural networks (Computer science). --- Human-computer interaction. --- Logic programming. --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Computer programming


Book
Progresses in Artificial Intelligence and Neural Systems
Authors: --- --- ---
ISBN: 981155093X 9811550921 Year: 2021 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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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. .


Book
Progress in Nonlinear Speech Processing
Authors: --- --- ---
ISBN: 9783540715054 Year: 2007 Publisher: Berlin Heidelberg Springer Berlin Heidelberg

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Abstract

The last meeting of the Management Committee of the COST Action 277: Nonlinear Speech Processing was held in Heraklion,Crete, Greece, September 20-23, 2005 during the Workshop on Nonlinear Speech Processing (WNSP). This was the last event of COST Action 277. The Action started in 2001. D- ing the workshop, members of the Management Committee and invited spe- ers presented overviews of their work during these four years (2001-2005) of research combining linear and nonlinear approaches for processing the speech signal. In this book, 13 contributions summarize part of this (mainly) Eu- pean e?ort in this ?eld. The aim of this book is to provide an additional and/or an alternative way to the traditional approach of linear speech processing to be used by researchers working in the domain. For all the chapters presented here, except Chaps. 4, 5, and 12, there is audiovisual material available at http://www. ics. forth. gr/wnsp05/index. html, where corresponding lectures and Power Point presentations are available by the authors. The contributions cover the following areas: 1. Speech analysis for speech synthesis, speech recognition, speech-non-speech discrimination and voice quality assessment 2. Speaker recognition/veri?cation from a natural or modi?ed speech signal 3. Speech recognition 4. Speech enhancement 5. Emotional state detection Speech Analysis Although in many speech applications the estimation of the glottal waveform is veryuseful,theestimationofthissignalisnotalwaysrobustandaccurate. Given a speech signal,the glottalwaveformmay be estimated throughinverse?ltering.


Book
Applications of Artificial Intelligence and Neural Systems to Data Science
Authors: --- --- ---
ISBN: 981993592X 9819935911 Year: 2023 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

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This book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and many other application areas supporting complex multimodal systems to enhance and improve human–machine or human–human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation of sophisticated computational intelligence tools. Such tools will support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even "rational" decision-making) and therefore improving the quality of life of the end users.

Keywords

Telecommunication. --- Signal processing. --- Artificial intelligence. --- Neural networks (Computer science). --- User interfaces (Computer systems). --- Human-computer interaction. --- Communications Engineering, Networks. --- Signal, Speech and Image Processing . --- Artificial Intelligence. --- Mathematical Models of Cognitive Processes and Neural Networks. --- User Interfaces and Human Computer Interaction. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- 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 --- Neural networks (Computer science)


Digital
Nonlinear Speech Modeling and Applications : Advanced Lectures and Revised Selected Papers
Authors: --- --- ---
ISBN: 9783540318866 Year: 2005 Publisher: Berlin Heidelberg Springer-Verlag GmbH

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Digital
Verbal and Nonverbal Communication Behaviours : COST Action 2102 International Workshop, Vietri sul Mare, Italy, March 29-31, 2007, Revised Selected and Invited Papers
Authors: --- --- ---
ISBN: 9783540764427 Year: 2007 Publisher: Berlin, Heidelberg Springer-Verlag Berlin Heidelberg


Digital
Neural Approaches to Dynamics of Signal Exchanges
Authors: --- --- ---
ISBN: 9789811389504 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

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, emotion modulation 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.

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