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Author: Rupayan Chakraborty
Publisher: Springer
ISBN: 981107674X
Category : Computers
Languages : en
Pages : 91
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Book Description
This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human–computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human–machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors’ previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.
Author: Rupayan Chakraborty
Publisher: Springer
ISBN: 981107674X
Category : Computers
Languages : en
Pages : 91
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Book Description
This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an effort to explain, elaborate, and propose possible solutions. Intelligent human–computer interaction (iHCI) systems thrive on several technologies like automatic speech recognition (ASR); speaker identification; language identification; image and video recognition; affect/mood/emotion analysis; and recognition, to name a few. Given the importance of spontaneity in any human–machine conversational speech, reliable recognition of emotion from naturally spoken spontaneous speech is crucial. While emotions, when explicitly demonstrated by an actor, are easy for a machine to recognize, the same is not true in the case of day-to-day, naturally spoken spontaneous speech. The book explores several reasons behind this, but one of the main reasons for this is that people, especially non-actors, do not explicitly demonstrate their emotion when they speak, thus making it difficult for machines to distinguish one emotion from another that is embedded in their spoken speech. This short book, based on some of authors’ previously published books, in the area of audio emotion analysis, identifies the practical challenges in analysing emotions in spontaneous speech and puts forward several possible solutions that can assist in robustly determining the emotions expressed in spontaneous speech.
Author: Elisabeth Andre
Publisher: Springer Science & Business Media
ISBN: 3540221433
Category : Computers
Languages : en
Pages : 336
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Book Description
Human conversational partners are able, at least to a certain extent, to detect the speaker’s or listener’s emotional state and may attempt to respond to it accordingly. When instead one of the interlocutors is a computer a number of questions arise, such as the following: To what extent are dialogue systems able to simulate such behaviors? Can we learn the mechanisms of emotional be- viors from observing and analyzing the behavior of human speakers? How can emotionsbeautomaticallyrecognizedfromauser’smimics,gesturesandspeech? What possibilities does a dialogue system have to express emotions itself? And, very importantly, would emotional system behavior be desirable at all? Given the state of ongoing research into incorporating emotions in dialogue systems we found it timely to organize a Tutorial and Research Workshop on A?ectiveDialogueSystems(ADS2004)atKlosterIrseein GermanyduringJune 14–16, 2004. After two successful ISCA Tutorial and Research Workshops on Multimodal Dialogue Systems at the same location in 1999 and 2002, we felt that a workshop focusing on the role of a?ect in dialogue would be a valuable continuation of the workshop series. Due to its interdisciplinary nature, the workshop attracted submissions from researchers with very di?erent backgrounds and from many di?erent research areas, working on, for example, dialogue processing, speech recognition, speech synthesis, embodied conversational agents, computer graphics, animation, user modelling, tutoring systems, cognitive systems, and human-computer inter- tion.
Author: Christian Peter
Publisher: Springer
ISBN: 3540850996
Category : Computers
Languages : en
Pages : 250
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Book Description
Affect and emotion play an important role in our everyday lives: They are present whatever we do, wherever we are, and wherever we go, without us being aware of them for much of the time. When it comes to interaction, be it with humans, technology, or humans via technology, we suddenly become more aware of emotion, either by seeing the other’s emotional expression, or by not getting an emotional response while anticipating one. Given this, it seems only sensible to explore affect and emotion in human-computer interaction, to investigate the underlying principles, to study the role they play, to develop methods to quantify them, and to finally build applications that make use of them. This is the research field for which, over ten years ago, Rosalind Picard coined the phrase "affective computing". The present book provides an account of the latest work on a variety of aspects related to affect and emotion in human-technology interaction. It covers theoretical issues, user experience and design aspects as well as sensing issues, and reports on a number of affective applications that have been developed in recent years.
Author: Thomas Moeslund
Publisher: MDPI
ISBN: 3039362283
Category : Technology & Engineering
Languages : en
Pages : 300
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Book Description
This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.
Author: Aijun Li
Publisher: Springer
ISBN: 3662476916
Category : Language Arts & Disciplines
Languages : en
Pages : 250
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Book Description
This book addresses the subject of emotional speech, especially its encoding and decoding process during interactive communication, based on an improved version of Brunswik’s Lens Model. The process is shown to be influenced by the speaker’s and the listener’s linguistic and cultural backgrounds, as well as by the transmission channels used. Through both psycholinguistic and phonetic analysis of emotional multimodality data for two typologically different languages, i.e., Chinese and Japanese, the book demonstrates and elucidates the mutual and differing decoding and encoding schemes of emotional speech in Chinese and Japanese.
Author: José Manuel Ferrández Vicente
Publisher: Springer
ISBN: 3030195910
Category : Computers
Languages : en
Pages : 449
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Book Description
The two volume set LNCS 11486 and 11487 constitutes the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, held in Almería, Spain,, in June 2019. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on understanding the brain function and emotions, addressing topics such as new tools for analyzing neural data, or detection emotional states, or interfacing with physical systems. The second volume deals with bioinspired systems and biomedical applications to machine learning and contains papers related bioinspired programming strategies and all the contributions oriented to the computational solutions to engineering problems in different applications domains, as biomedical systems, or big data solutions.
Author: Juan de Dios Martínez Agudo
Publisher: Springer
ISBN: 3319754386
Category : Education
Languages : en
Pages : 441
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Book Description
This edited volume explores the multifaceted nature of teacher emotions, presenting current research from different approaches and perspectives, focused towards the second language classroom. Twenty three chapters by well-known scholars from the applied linguistics, TESOL and educational psychology fields provide the reader with a holistic picture of teacher emotions, making this collection a significant contribution to the field of second language teaching. Given the emotional nature of teaching, the book explores a number of key issues or dimensions of L2 teachers’ emotions that were until now rarely considered. The contributions present the views of a select group of applied linguistic researchers and L2 teacher educators from around the world. This international perspective makes the book essential reading for both L2 teachers and teacher educators.
Author: Saskia Elske Kunnen
Publisher: Psychology Press
ISBN: 1136511016
Category : Psychology
Languages : en
Pages : 194
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Book Description
The dynamic systems approach is a rapidly expanding advancement in the study of developmental research, particularly in the domain of adolescent development. It provides a unique way of examining the subject, and this innovative study of developmental processes helps social scientists to translate dynamic systems conceptualizations into clear empirical research that readers will be able to implement themselves. The first part of this edited book discusses techniques that describe and assess specific process characteristics such as variability, sudden jumps and attractor states. The second part explores the different techniques for building a dynamic systems model, which can simulate the behaviour of a system to investigate the mechanisms behind the processes. Each chapter describes one technique and is based on a specific practical example of its application in adolescent development. Step-by-step instructions for model-building and examples of ready-made models are provided on the website that belongs to the book: www.psypress.com/dynamic-systems-approach. This book provides a clear step-by-step description of theories and techniques that are designed for the study of developmental processes, and is therefore ideal for researchers of developmental psychology who do not specialise in statistics or research methods.
Author: Miguel Félix Mata-Rivera
Publisher: Springer Nature
ISBN: 3031180828
Category : Computers
Languages : en
Pages : 480
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Book Description
This book constitutes the proceedings of the 11th International Congress on Telematics and Computing, WITCOM 2022, held in Cancún, México, in November 2022. The 30 full papers presented in this volume were carefully reviewed and selected from 73 submissions. The papers are focused on the topics of artificial intelligence techniques, Data Science, Blockchain, environment Monitoring, Cybersecurity, Education, and software for communications protocols.
Author: Ratree Wayland
Publisher: Frontiers Media SA
ISBN: 2832552978
Category : Science
Languages : en
Pages : 122
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Book Description
Degeneration of nerve cells that control cognitive, speech, and language processes leading to linguistic impairments at various levels, from verbal utterances to individual speech sounds, could indicate signs of neurological, cognitive and psychiatric disorders such as Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), dementias, depression, autism spectrum disorder, schizophrenia, etc. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations. However, speech-based biomarkers could potentially offer many advantages over current clinical standards. In addition to being objective and naturalistic, they can also be collected remotely with minimal instruction and time requirements. Furthermore, Machine Learning algorithms developed to build automated diagnostic models using linguistic features extracted from speech could aid diagnosis of patients with probable diseases from a group of normal population. To ensure that speech-based biomarkers are providing accurate measurement and can serve as effective clinical tools for detecting and monitoring disease, speech features extracted and analyzed must be systematically and rigorously evaluated. Different machine learning architectures trained to classify different types of disordered speech must also be rigorously tested and systematically compared.
