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Robust Emotion Recognition Using Spectral And Prosodic Features


Robust Emotion Recognition Using Spectral And Prosodic Features
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Robust Emotion Recognition Using Spectral And Prosodic Features


Robust Emotion Recognition Using Spectral And Prosodic Features
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Author : K. Sreenivasa Rao
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-13

Robust Emotion Recognition Using Spectral And Prosodic Features written by K. Sreenivasa Rao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-13 with Technology & Engineering categories.


In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner. The authors also delve into the complementary evidences obtained from excitation source, vocal tract system and prosodic features for the purpose of enhancing emotion recognition performance. Features based on speaking rate characteristics are explored with the help of multi-stage and hybrid models for further improving emotion recognition performance. Proposed spectral and prosodic features are evaluated on real life emotional speech corpus.



Language Identification Using Excitation Source Features


Language Identification Using Excitation Source Features
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Author : K. Sreenivasa Rao
language : en
Publisher: Springer
Release Date : 2015-04-15

Language Identification Using Excitation Source Features written by K. Sreenivasa Rao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-15 with Technology & Engineering categories.


This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivation for exploring the specific feature for LID task, and subsequently discuss the methods to extract those features and finally suggest appropriate models to capture the language specific knowledge from the proposed features. Finally, the book discuss about various combinations of spectral and source features, and the desired models to enhance the performance of LID systems.



Advances In Data Sciences Security And Applications


Advances In Data Sciences Security And Applications
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Author : Vanita Jain
language : en
Publisher: Springer Nature
Release Date : 2019-12-02

Advances In Data Sciences Security And Applications written by Vanita Jain and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-02 with Technology & Engineering categories.


This book gathers the best papers presented at the International Conference on Data Sciences, Security and Applications (ICDSSA 2019), organized by Bharati Vidyapeeth’s College of Engineering, New Delhi, India, on 7–8 March 2019. The respective contributions present original research work, essential information, techniques and applications in the fields of data mining, artificial intelligence and computational intelligence. They also discuss machine learning in business intelligence and big data analytics, soft computing, security, cloud computing and the latest trends.



Intelligent Systems Design And Applications


Intelligent Systems Design And Applications
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Author : Ajith Abraham
language : en
Publisher: Springer Nature
Release Date : 2023-06-02

Intelligent Systems Design And Applications written by Ajith Abraham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-02 with Technology & Engineering categories.


This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.



Introduction To Eeg And Speech Based Emotion Recognition


Introduction To Eeg And Speech Based Emotion Recognition
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Author : Priyanka A. Abhang
language : en
Publisher: Academic Press
Release Date : 2016-03-23

Introduction To Eeg And Speech Based Emotion Recognition written by Priyanka A. Abhang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-23 with Medical categories.


Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings. - Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon - Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data - Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition



Smart Computational Intelligence In Biomedical And Health Informatics


Smart Computational Intelligence In Biomedical And Health Informatics
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Author : Amit Kumar Manocha
language : en
Publisher: CRC Press
Release Date : 2021-09-27

Smart Computational Intelligence In Biomedical And Health Informatics written by Amit Kumar Manocha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-27 with Computers categories.


Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical diagnosis, disease prevention, and patient monitoring and management. It also covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. FEATURES Covers evolutionary approaches to solve optimization problems in biomedical engineering Discusses IoT, Cloud computing, and data analytics in healthcare informatics Provides computational intelligence-based solution for diagnosis of diseases Reviews modelling and simulations in designing of biomedical equipment Promotes machine learning-based approaches to improvements in biomedical engineering problems This book is for researchers, graduate students in healthcare, biomedical engineers, and those interested in health informatics, computational intelligence, and machine learning.



Mobile Secure And Programmable Networking


Mobile Secure And Programmable Networking
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Author : Éric Renault
language : en
Publisher: Springer
Release Date : 2019-06-20

Mobile Secure And Programmable Networking written by Éric Renault and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-20 with Computers categories.


This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Mobile, Secure and Programmable Networking, held in Mohammedia, Morocco, in April 2019. The 23 papers presented in this volume were carefully reviewed and selected from 48 submissions. They discuss new trends in networking infrastructures, security, services and applications while focusing on virtualization and cloud computing for networks, network programming, software defined networks (SDN) and their security.



Intelligent Computing In Signal Processing And Pattern Recognition


Intelligent Computing In Signal Processing And Pattern Recognition
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Author : De-Shuang Huang
language : en
Publisher: Springer
Release Date : 2006-09-08

Intelligent Computing In Signal Processing And Pattern Recognition written by De-Shuang Huang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-08 with Technology & Engineering categories.


This 1179-page book assembles the complete contributions to the International Conference on Intelligent Computing, ICIC 2006: one volume of Lecture Notes in Computer Science (LNCS); one of Lecture Notes in Artificial Intelligence (LNAI); one of Lecture Notes in Bioinformatics (LNBI); and two volumes of Lecture Notes in Control and Information Sciences (LNCIS). Include are 149 revised full papers, and a Special Session on Computing for Searching Strategies to Control Dynamic Processes.



Mathematical Methods In Interdisciplinary Sciences


Mathematical Methods In Interdisciplinary Sciences
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Author : Snehashish Chakraverty
language : en
Publisher: John Wiley & Sons
Release Date : 2020-07-15

Mathematical Methods In Interdisciplinary Sciences written by Snehashish Chakraverty and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-15 with Mathematics categories.


Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics. The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include: Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.



Towards Expressive Perception And Generation In Human Computer Conversational Interaction


Towards Expressive Perception And Generation In Human Computer Conversational Interaction
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Author : Yaohua Bu
language : en
Publisher: Scientific Research Publishing, Inc. USA
Release Date : 2024-07-31

Towards Expressive Perception And Generation In Human Computer Conversational Interaction written by Yaohua Bu and has been published by Scientific Research Publishing, Inc. USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Antiques & Collectibles categories.


The construction of a natural interactive human-computer interaction has become an integral component of intelligent system development, constituting a core subject within the field of human-computer interaction. Grounded in the utilization of human perception theories, this study proposes a robust method for speech emotion recognition and a model for inferring user emotional state changes, thereby achieving a hu-man-computer interaction experience characterized by both listening and articulating, and conveying sentiments effectively. Simultaneously, focusing on the audio-visual modalities within human-computer interaction, this research explores methods for con-structing interactive feedback in auditory and visual modalities within real hu-man-computer dialog scenarios. This aims to synchronize textual, verbal, and visual expressions in human-computer interaction, enhancing its naturalness, improving user experience, and augmenting satisfaction and pleasure during interaction. The research contributions are as follows: Introducing a method that robustly identifies user emotional states in real hu-man-computer speech dialogue scenarios through the utilization of local and global attention mechanisms. This method generates robust and distinguishable representa-tions of speech emotion, thereby enhancing the robustness and accuracy of speech emotion recognition systems in authentic dialogue scenarios.