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Music Emotion Recognition by Yi-Hsuan Yang,Homer H. Chen Pdf
Providing a complete review of existing work in music emotion developed in psychology and engineering, Music Emotion Recognition explains how to account for the subjective nature of emotion perception in the development of automatic music emotion recognition (MER) systems. Among the first publications dedicated to automatic MER, it begins with
Cognitive Analytics: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf
Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.
From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces by Jacek Grekow Pdf
The problems it addresses include emotion representation, annotation of music excerpts, feature extraction, and machine learning. The book chiefly focuses on content-based analysis of music files, a system that automatically analyzes the structures of a music file and annotates the file with the perceived emotions. Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation. The automatic emotion detection systems constructed and described in the book make it possible to index and subsequently search through music databases according to emotion. In turn, the emotion maps of musical compositions provide valuable new insights into the distribution of emotions in music and can be used to compare that distribution in different compositions, or to conduct emotional comparisons of different interpretations of the same composition.
Expression of emotion in music and vocal communication by Anjali Bhatara,Petri Laukka,Daniel J. Levitin Pdf
Two of the most important social skills in humans are the ability to determine the moods of those around us, and to use this to guide our behavior. To accomplish this, we make use of numerous cues. Among the most important are vocal cues from both speech and non-speech sounds. Music is also a reliable method for communicating emotion. It is often present in social situations and can serve to unify a group's mood for ceremonial purposes (funerals, weddings) or general social interactions. Scientists and philosophers have speculated on the origins of music and language, and the possible common bases of emotional expression through music, speech and other vocalizations. They have found increasing evidence of commonalities among them. However, the domains in which researchers investigate these topics do not always overlap or share a common language, so communication between disciplines has been limited. The aim of this Research Topic is to bring together research across multiple disciplines related to the production and perception of emotional cues in music, speech, and non-verbal vocalizations. This includes natural sounds produced by human and non-human primates as well as synthesized sounds. Research methodology includes survey, behavioral, and neuroimaging techniques investigating adults as well as developmental populations, including those with atypical development. Studies using laboratory tasks as well as studies in more naturalistic settings are included.
Proceedings of ICETIT 2019 by Pradeep Kumar Singh,Bijaya Ketan Panigrahi,Nagender Kumar Suryadevara,Sudhir Kumar Sharma,Amit Prakash Singh Pdf
This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.
From Sounds to Music and Emotions by Mitsuko Aramaki,Mathieu Barthet,Richard Kronland-Martinet,Sølvi Ystad Pdf
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval, CMMR 2012, held in London, UK, in June 2012. The 28 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers have been organized in the following topical sections: music emotion analysis; 3D audio and sound synthesis; computer models of music perception and cognition; music emotion recognition; music information retrieval; film soundtrack and music recommendation; and computational musicology and music education. The volume also includes selected papers from the Cross-Disciplinary Perspectives on Expressive Performance Workshop held within the framework of CMMR 2012.
Musical Emotions Explained by Patrik N. Juslin Pdf
Can music really arouse emotions? If so, what emotions, and how? Why do listeners respond with different emotions to the same piece of music? Are emotions to music different from other emotions? Why do we respond to fictional events in art as if they were real, even though we know they're not? What is it that makes a performance of music emotionally expressive? Based on ground-breaking research, Musical Emotions Explained explores how music expresses and arouses emotions, and how it becomes an object of aesthetic judgments. Within the book, Juslin demonstrates how psychological mechanisms from our ancient past engage with meanings in music at multiple levels of the brain to evoke a broad variety of affective states - from startle responses to profound aesthetic emotions, and explores why these mechanisms respond to music? Written by one of the leading researchers in the field, the book is richly illustrated with music examples from everyday life, and explains with clarity and rigour the manifold ways in which music may engage our emotions, in a style sufficiently engaging for lay readers, yet comprehensive and novel enough for specialists.
Music Data Mining by Tao Li,Mitsunori Ogihara,George Tzanetakis Pdf
The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to
Author : C. H. Chen,L -F. Pau,Patrick S. P. Wang Publisher : World Scientific Page : 1045 pages File Size : 48,8 Mb Release : 1999 Category : Computers ISBN : 9789812384737
Handbook of Pattern Recognition and Computer Vision by C. H. Chen,L -F. Pau,Patrick S. P. Wang Pdf
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference.
Handbook of Music and Emotion by Patrik N. Juslin,John Sloboda Pdf
Music's ability to express and arouse emotions is a mystery that has fascinated both experts and laymen at least since ancient Greece. The predecessor to this book 'Music and Emotion' (OUP, 2001) was critically and commercially successful and stimulated much further work in this area. In the years since publication of that book, empirical research in this area has blossomed, and the successor to 'Music and Emotion' reflects the considerable activity in this area. The Handbook of Music and Emotion offers an 'up-to-date' account of this vibrant domain. It provides comprehensive coverage of the many approaches that may be said to define the field of music and emotion, in all its breadth and depth. The first section offers multi-disciplinary perspectives on musical emotions from philosophy, musicology, psychology, neurobiology, anthropology, and sociology. The second section features methodologically-oriented chapters on the measurement of emotions via different channels (e.g., self report, psychophysiology, neuroimaging). Sections three and four address how emotion enters into different aspects of musical behavior, both the making of music and its consumption. Section five covers developmental, personality, and social factors. Section six describes the most important applications involving the relationship between music and emotion. In a final commentary, the editors comment on the history of the field, summarize the current state of affairs, as well as propose future directions for the field. The only book of its kind, The Handbook of Music and Emotion will fascinate music psychologists, musicologists, music educators, philosophers, and others with an interest in music and emotion (e.g., in marketing, health, engineering, film, and the game industry). It will be a valuable resource for established researchers in the field, a developmental aid for early-career researchers and postgraduate research students, and a compendium to assist students at various levels. In addition, as with its predecessor, it will also attract interest from practising musicians and lay readers fascinated by music and emotion.
Musical Understandings presents an engaging collection of essays by Stephen Davies on the philosophy of music. He explores a range of topics, including how music expresses emotion, modes of perception, and musical profundity. The volume includes original material, newly revised articles, and work published in English for the first time.
Introduction to EEG- and Speech-Based Emotion Recognition by Priyanka A. Abhang,Bharti W. Gawali,Suresh C. Mehrotra Pdf
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
Foundations of Intelligent Systems by Denis Helic,Gerhard Leitner,Martin Stettinger,Alexander Felfernig,Zbigniew W. Raś Pdf
This book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 35 full and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. Included is also one invited talk. The papers deal with topics such as natural language processing; deep learning and embeddings; digital signal processing; modelling and reasoning; and machine learning applications.
From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together