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Acoustics Speech And Signal Processing Icassp 2013 Ieee International Conference On
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Book Synopsis Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on by :
Download or read book Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) by : IEEE Staff
Download or read book ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) written by IEEE Staff and published by . This book was released on 2013-05-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The ICASSP meeting is the world s largest and most comprehensive technical conference focused on signal processing and its applications The conference will feature world class speakers, tutorials, exhibits, and over 50 lecture and poster sessions
Book Synopsis ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing by :
Download or read book ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing written by and published by . This book was released on 2013 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 1999 IEEE International Conference on Acoustics, Speech and Signal Processing by : Signal processing society
Download or read book 1999 IEEE International Conference on Acoustics, Speech and Signal Processing written by Signal processing society and published by . This book was released on 1999 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis HCI for Cybersecurity, Privacy and Trust by : Abbas Moallem
Download or read book HCI for Cybersecurity, Privacy and Trust written by Abbas Moallem and published by Springer Nature. This book was released on with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deep Learning Techniques Applied to Affective Computing by : Zhen Cui
Download or read book Deep Learning Techniques Applied to Affective Computing written by Zhen Cui and published by Frontiers Media SA. This book was released on 2023-06-14 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: Affective computing refers to computing that relates to, arises from, or influences emotions. The goal of affective computing is to bridge the gap between humans and machines and ultimately endow machines with emotional intelligence for improving natural human-machine interaction. In the context of human-robot interaction (HRI), it is hoped that robots can be endowed with human-like capabilities of observation, interpretation, and emotional expression. The research on affective computing has recently achieved extensive progress with many fields contributing including neuroscience, psychology, education, medicine, behavior, sociology, and computer science. Current research in affective computing concentrates on estimating human emotions through different forms of signals such as speech, face, text, EEG, fMRI, and many others. In neuroscience, the neural mechanisms of emotion are explored by combining neuroscience with the psychological study of personality, emotion, and mood. In psychology and philosophy, emotion typically includes a subjective, conscious experience characterized primarily by psychophysiological expressions, biological reactions, and mental states. The multi-disciplinary features of understanding “emotion” result in the fact that inferring the emotion of humans is definitely difficult. As a result, a multi-disciplinary approach is required to facilitate the development of affective computing. One of the challenging problems in affective computing is the affective gap, i.e., the inconsistency between the extracted feature representations and subjective emotions. To bridge the affective gap, various hand-crafted features have been widely employed to characterize subjective emotions. However, these hand-crafted features are usually low-level, and they may hence not be discriminative enough to depict subjective emotions. To address this issue, the recently-emerged deep learning (also called deep neural networks) techniques provide a possible solution. Due to the used multi-layer network structure, deep learning techniques are capable of learning high-level contributing features from a large dataset and have exhibited excellent performance in multiple application domains such as computer vision, signal processing, natural language processing, human-computer interaction, and so on. The goal of this Research Topic is to gather novel contributions on deep learning techniques applied to affective computing across the diverse fields of psychology, machine learning, neuroscience, education, behavior, sociology, and computer science to converge with those active in other research areas, such as speech emotion recognition, facial expression recognition, Electroencephalogram (EEG) based emotion estimation, human physiological signal (heart rate) estimation, affective human-robot interaction, multimodal affective computing, etc. We welcome researchers to contribute their original papers as well as review articles to provide works regarding the neural approach from computation to affective computing systems. This Research Topic aims to bring together research including, but not limited to: • Deep learning architectures and algorithms for affective computing tasks such as emotion recognition from speech, face, text, EEG, fMRI, and many others. • Explainability of deep Learning algorithms for affective computing. • Multi-task learning techniques for emotion, personality and depression detection, etc. • Novel datasets for affective computing • Applications of affective computing in robots, such as emotion-aware human-robot interaction and social robots, etc.
Book Synopsis Latent Variable Analysis and Signal Separation by : Yannick Deville
Download or read book Latent Variable Analysis and Signal Separation written by Yannick Deville and published by Springer. This book was released on 2018-06-05 with total page 583 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018.The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods.
Book Synopsis Inclusive Smart Cities and Digital Health by : Carl K. Chang
Download or read book Inclusive Smart Cities and Digital Health written by Carl K. Chang and published by Springer. This book was released on 2016-05-20 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, held in Wuhan, China, in May 2016. The 39 regular papers, 5 short papers and 1 poster paper included in this volume were carefully reviewed and selected from 83 submissions. They were organized in topical sections named: smart homes, smart urban spaces and new assistive living space concepts in the smart city; e-health for future smart cities; context awareness and autonomous computing; home networks and residential gateways; middleware support for smart homes and health telematic services; e-health and chronic disease management; e-health technology assessment and impact analysis; tele-assistance and tele-rehabilitation; modeling of physical and conceptual information in intelligent environments; medical big data collection, processing and analysis; human machine interfaces; wearable sensors and continuous health monitoring; social, privacy and security issues; mobile health services; and smart rehabilitation technologies.
Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys
Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2023-04-07 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.
Book Synopsis Advances in Speech and Music Technology by : Anupam Biswas
Download or read book Advances in Speech and Music Technology written by Anupam Biswas and published by Springer Nature. This book was released on 2021-05-31 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features original papers from 25th International Symposium on Frontiers of Research in Speech and Music (FRSM 2020), jointly organized by National Institute of Technology, Silchar, India, during 8–9 October 2020. The book is organized in five sections, considering both technological advancement and interdisciplinary nature of speech and music processing. The first section contains chapters covering the foundations of both vocal and instrumental music processing. The second section includes chapters related to computational techniques involved in the speech and music domain. A lot of research is being performed within the music information retrieval domain which is potentially interesting for most users of computers and the Internet. Therefore, the third section is dedicated to the chapters related to music information retrieval. The fourth section contains chapters on the brain signal analysis and human cognition or perception of speech and music. The final section consists of chapters on spoken language processing and applications of speech processing.
Book Synopsis Advances in Multimedia Information Processing -- PCM 2015 by : Yo-Sung Ho
Download or read book Advances in Multimedia Information Processing -- PCM 2015 written by Yo-Sung Ho and published by Springer. This book was released on 2015-09-11 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume proceedings LNCS 9314 and 9315, constitute the proceedings of the 16th Pacific-Rim Conference on Multimedia, PCM 2015, held in Gwangju, South Korea, in September 2015. The total of 138 full and 32 short papers presented in these proceedings was carefully reviewed and selected from 224 submissions. The papers were organized in topical sections named: image and audio processing; multimedia content analysis; multimedia applications and services; video coding and processing; multimedia representation learning; visual understanding and recognition on big data; coding and reconstruction of multimedia data with spatial-temporal information; 3D image/video processing and applications; video/image quality assessment and processing; social media computing; human action recognition in social robotics and video surveillance; recent advances in image/video processing; new media representation and transmission technologies for emerging UHD services.
Book Synopsis Digital-Forensics and Watermarking by : Yun-Qing Shi
Download or read book Digital-Forensics and Watermarking written by Yun-Qing Shi and published by Springer. This book was released on 2015-06-24 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Workshop on Digital-Forensics and Watermarking, IWDW 2014, held in Taipei, Taiwan, during October 2014. The 32 full and 14 poster papers, presented together with 1 keynote speech, were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections on forensics; watermarking; reversible data hiding; visual cryptography; and steganography and steganalysis.
Book Synopsis Recent Trends in Computer Applications by : Jihad Mohamad Alja’am
Download or read book Recent Trends in Computer Applications written by Jihad Mohamad Alja’am and published by Springer. This book was released on 2018-11-19 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume presents the best chapters presented during the international conference on computer and applications ICCA’17 which was held in Dubai, United Arab Emirates in September 2017. Selected chapters present new advances in digital information, communications and multimedia. Authors from different countries show and discuss their findings, propose new approaches, compare them with the existing ones and include recommendations. They address all applications of computing including (but not limited to) connected health, information security, assistive technology, edutainment and serious games, education, grid computing, transportation, social computing, natural language processing, knowledge extraction and reasoning, Arabic apps, image and pattern processing, virtual reality, cloud computing, haptics, information security, robotics, networks algorithms, web engineering, big data analytics, ontology, constraints satisfaction, cryptography and steganography, Fuzzy logic, soft computing, neural networks, artificial intelligence, biometry and bio-informatics, embedded systems, computer graphics, algorithms and optimization, Internet of things and smart cities. The book can be used by researchers and practitioners to discover the recent trends in computer applications. It opens a new horizon for research discovery works locally and internationally.
Book Synopsis Advances in Brain Inspired Cognitive Systems by : Cheng-Lin Liu
Download or read book Advances in Brain Inspired Cognitive Systems written by Cheng-Lin Liu and published by Springer. This book was released on 2016-11-11 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, held in Beijing, China, in November 2016. The 32 full papers presented were carefully reviewed and selected from 43 submissions. They discuss the emerging areas and challenges, present the state of the art of brain-inspired cognitive systems research and applications in diverse fields by covering many topics in brain inspired cognitive systems related research including biologically inspired systems, cognitive neuroscience, models consciousness, and neural computation.
Book Synopsis Computational Intelligence in Pattern Recognition by : Asit Kumar Das
Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2020-02-19 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 2nd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2020), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 4–5 January 2020. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
Book Synopsis Intelligent Speech Signal Processing by : Nilanjan Dey
Download or read book Intelligent Speech Signal Processing written by Nilanjan Dey and published by Academic Press. This book was released on 2019-06-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning, and data mining Illustrates different applications and challenges across the design, implementation, and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks
Book Synopsis Dictionary Learning in Visual Computing by : Qiang Zhang
Download or read book Dictionary Learning in Visual Computing written by Qiang Zhang and published by Springer Nature. This book was released on 2022-05-31 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last few years have witnessed fast development on dictionary learning approaches for a set of visual computing tasks, largely due to their utilization in developing new techniques based on sparse representation. Compared with conventional techniques employing manually defined dictionaries, such as Fourier Transform and Wavelet Transform, dictionary learning aims at obtaining a dictionary adaptively from the data so as to support optimal sparse representation of the data. In contrast to conventional clustering algorithms like K-means, where a data point is associated with only one cluster center, in a dictionary-based representation, a data point can be associated with a small set of dictionary atoms. Thus, dictionary learning provides a more flexible representation of data and may have the potential to capture more relevant features from the original feature space of the data. One of the early algorithms for dictionary learning is K-SVD. In recent years, many variations/extensions of K-SVD and other new algorithms have been proposed, with some aiming at adding discriminative capability to the dictionary, and some attempting to model the relationship of multiple dictionaries. One prominent application of dictionary learning is in the general field of visual computing, where long-standing challenges have seen promising new solutions based on sparse representation with learned dictionaries. With a timely review of recent advances of dictionary learning in visual computing, covering the most recent literature with an emphasis on papers after 2008, this book provides a systematic presentation of the general methodologies, specific algorithms, and examples of applications for those who wish to have a quick start on this subject.