Download Music Emotion Recognition full books in PDF, epub, and Kindle. Read online Music Emotion Recognition ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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
Book Synopsis Music Emotion Recognition by : Yi-Hsuan Yang
Download or read book Music Emotion Recognition written by Yi-Hsuan Yang and published by CRC Press. This book was released on 2011-02-22 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
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.
Book Synopsis Cognitive Analytics: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources
Download or read book Cognitive Analytics: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-03-06 with total page 1961 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 a comprehensive introduction to the essential aspects of MER—including background, key techniques, and applications. This ground-breaking reference examines emotion from a dimensional perspective. It defines emotions in music as points in a 2D plane in terms of two of the most fundamental emotion dimensions according to psychologists—valence and arousal. The authors present a computational framework that generalizes emotion recognition from the categorical domain to real-valued 2D space. They also: Introduce novel emotion-based music retrieval and organization methods Describe a ranking-base emotion annotation and model training method Present methods that integrate information extracted from lyrics, chord sequence, and genre metadata for improved accuracy Consider an emotion-based music retrieval system that is particularly useful for mobile devices The book details techniques for addressing the issues related to: the ambiguity and granularity of emotion description, heavy cognitive load of emotion annotation, subjectivity of emotion perception, and the semantic gap between low-level audio signal and high-level emotion perception. Complete with more than 360 useful references, 12 example MATLAB® codes, and a listing of key abbreviations and acronyms, this cutting-edge guide supplies the technical understanding and tools needed to develop your own automatic MER system based on the automatic recognition model.
Book Synopsis Music Emotion Recognition by : Yi-Hsuan Yang
Download or read book Music Emotion Recognition written by Yi-Hsuan Yang and published by CRC Press. This book was released on 2011-02-22 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 a comprehensive introduction to the essential aspects of MER—including background, key techniques, and applications. This ground-breaking reference examines emotion from a dimensional perspective. It defines emotions in music as points in a 2D plane in terms of two of the most fundamental emotion dimensions according to psychologists—valence and arousal. The authors present a computational framework that generalizes emotion recognition from the categorical domain to real-valued 2D space. They also: Introduce novel emotion-based music retrieval and organization methods Describe a ranking-base emotion annotation and model training method Present methods that integrate information extracted from lyrics, chord sequence, and genre metadata for improved accuracy Consider an emotion-based music retrieval system that is particularly useful for mobile devices The book details techniques for addressing the issues related to: the ambiguity and granularity of emotion description, heavy cognitive load of emotion annotation, subjectivity of emotion perception, and the semantic gap between low-level audio signal and high-level emotion perception. Complete with more than 360 useful references, 12 example MATLAB® codes, and a listing of key abbreviations and acronyms, this cutting-edge guide supplies the technical understanding and tools needed to develop your own automatic MER system based on the automatic recognition model.
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.
Book Synopsis From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces by : Jacek Grekow
Download or read book From Content-based Music Emotion Recognition to Emotion Maps of Musical Pieces written by Jacek Grekow and published by Springer. This book was released on 2017-11-02 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Proceedings of ICETIT 2019 by : Pradeep Kumar Singh
Download or read book Proceedings of ICETIT 2019 written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2019-09-23 with total page 1144 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Foundations of Intelligent Systems by : Denis Helic
Download or read book Foundations of Intelligent Systems written by Denis Helic and published by Springer Nature. This book was released on 2020-09-17 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis From Sounds to Music and Emotions by : Mitsuko Aramaki
Download or read book From Sounds to Music and Emotions written by Mitsuko Aramaki and published by Springer. This book was released on 2013-11-27 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
This book constitutes the refereed proceedings of the 9th Pacific Rim Conference on Multimedia, PCM 2008, held in Tainan, Taiwan, in December 2008. The 79 revised full papers and 39 revised poster presented were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on next generation video coding techniques, audio processing and classification, interactive multimedia systems, advances in H.264/AVC, multimedia networking techniques, advanced image processing techniques, video analysis and its applications, image detection and classification, visual and spatial analyses, multimedia human computer interfaces, multimedia security and DRM, advanced image and video processing, multimedia database and retrieval, multimedia management and authoring, multimedia personalization, multimedia for e-learning, multimedia networking techniques, multimedia systems and applications, advanced multimedia techniques, as well as multimedia processing and analyses.
Book Synopsis Advances in Multimedia Information Processing - PCM 2008 by : Yueh-Min Ray Huang
Download or read book Advances in Multimedia Information Processing - PCM 2008 written by Yueh-Min Ray Huang and published by Springer Science & Business Media. This book was released on 2008-11-19 with total page 963 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th Pacific Rim Conference on Multimedia, PCM 2008, held in Tainan, Taiwan, in December 2008. The 79 revised full papers and 39 revised poster presented were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on next generation video coding techniques, audio processing and classification, interactive multimedia systems, advances in H.264/AVC, multimedia networking techniques, advanced image processing techniques, video analysis and its applications, image detection and classification, visual and spatial analyses, multimedia human computer interfaces, multimedia security and DRM, advanced image and video processing, multimedia database and retrieval, multimedia management and authoring, multimedia personalization, multimedia for e-learning, multimedia networking techniques, multimedia systems and applications, advanced multimedia techniques, as well as multimedia processing and analyses.
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.
Book Synopsis Musical Emotions Explained by : Patrik N. Juslin
Download or read book Musical Emotions Explained written by Patrik N. Juslin and published by Oxford University Press, USA. This book was released on 2019-04-02 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Emotion Recognition (MER) is a promising new direction for automatic music organization and retrieval. The aim of MER is to automatically annotate music based on mood. Researchers have tried to retrieve music mood using audio features, contextual text information, and multimodal methods. Among these music features used in MER, lyrics are an important part of vocal music that MER researchers have been exploiting. Using traditional lexicons and traditional Natural Language Processing (NLP) techniques, researchers have been conducting MER using lyrics alone in several languages. However, there has not been enough data for MER to use NLP on lyrics. Transfer learning methods can bridge the gap between the need of massive data for machine learning methods and the lack of annotated data for MER. This thesis implements transfer learning to classify music only using lyrics in English into four categories: angry, happy, sad, and relaxed. Two pre-trained models, BERT and XLNet, are tested and compared with a traditional machine learning method, Support Vector Machine. Also investigated are the effects of different text preprocessing techniques and their combinations on MER using lyrics"--
Book Synopsis Music Emotion Recognition on Lyrics Using Natural Language Processing by : Yinan Zhou
Download or read book Music Emotion Recognition on Lyrics Using Natural Language Processing written by Yinan Zhou and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Music Emotion Recognition (MER) is a promising new direction for automatic music organization and retrieval. The aim of MER is to automatically annotate music based on mood. Researchers have tried to retrieve music mood using audio features, contextual text information, and multimodal methods. Among these music features used in MER, lyrics are an important part of vocal music that MER researchers have been exploiting. Using traditional lexicons and traditional Natural Language Processing (NLP) techniques, researchers have been conducting MER using lyrics alone in several languages. However, there has not been enough data for MER to use NLP on lyrics. Transfer learning methods can bridge the gap between the need of massive data for machine learning methods and the lack of annotated data for MER. This thesis implements transfer learning to classify music only using lyrics in English into four categories: angry, happy, sad, and relaxed. Two pre-trained models, BERT and XLNet, are tested and compared with a traditional machine learning method, Support Vector Machine. Also investigated are the effects of different text preprocessing techniques and their combinations on MER using lyrics"--
