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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.
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
"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"--
Music emotion analysis has been an ever-growing field of research in music in- formation retrieval. To solve the cold start problem of content-based recommendation systems, a method for automatic music labeling is needed. Due to recent advances, neural networks can be used to extract audio features for a wide variety of tasks. When humans listen to a song, it is the music or the lyrics that touch the heart the most. Therefore, this study will try to predict the type of music emotion based on the audio signal and the lyrics information. For model building, convolutional neural networks (CNNs) will be used on the audio signals and natural language processing (NLP) models on the lyrics. A new dataset ABP is compiled from three datasets of Western pop music where each song contains valence and arousal values judged by humans. The type of music emotion will be categorized based on the four quadrants formed by the valence and arousal axes. It is confirmed in the experiment that use of audio and lyrics information to classify the emotions of songs has a better classification performance than use of the audio-only learning methods in previous studies. Compared with a related work, this study has improved the accuracy of the audio model and the lyrics model by 8~16%.
Book Synopsis Music Emotion Analysis Based on Audio and Lyrics Using Deep Learning by : Bo-Hsun Sung
Download or read book Music Emotion Analysis Based on Audio and Lyrics Using Deep Learning written by Bo-Hsun Sung and published by . This book was released on 2021 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Music emotion analysis has been an ever-growing field of research in music in- formation retrieval. To solve the cold start problem of content-based recommendation systems, a method for automatic music labeling is needed. Due to recent advances, neural networks can be used to extract audio features for a wide variety of tasks. When humans listen to a song, it is the music or the lyrics that touch the heart the most. Therefore, this study will try to predict the type of music emotion based on the audio signal and the lyrics information. For model building, convolutional neural networks (CNNs) will be used on the audio signals and natural language processing (NLP) models on the lyrics. A new dataset ABP is compiled from three datasets of Western pop music where each song contains valence and arousal values judged by humans. The type of music emotion will be categorized based on the four quadrants formed by the valence and arousal axes. It is confirmed in the experiment that use of audio and lyrics information to classify the emotions of songs has a better classification performance than use of the audio-only learning methods in previous studies. Compared with a related work, this study has improved the accuracy of the audio model and the lyrics model by 8~16%.
Book Synopsis Modeling and Predicting Emotion in Music by : Erik M. Schmidt
Download or read book Modeling and Predicting Emotion in Music written by Erik M. Schmidt and published by . This book was released on 2013 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advisor: Youngmoo Edmund Kim.
The unique compendium re-assesses the value of future and emergent computing technologies via artistic and philosophical means. The book encourages scientists to adopt inspiring thinking of artists and philosophers to reuse scientific concepts in their works.The useful reference text consists of non-typical topics, where artistic and philosophical concepts encourage readers to adopt unconventional approaches towards computing and immerse themselves into discoveries of future emerging landscape.Related Link(s)
Book Synopsis Unconventional Computing, Arts, Philosophy by : Andrew Adamatzky
Download or read book Unconventional Computing, Arts, Philosophy written by Andrew Adamatzky and published by World Scientific. This book was released on 2022-10-04 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The unique compendium re-assesses the value of future and emergent computing technologies via artistic and philosophical means. The book encourages scientists to adopt inspiring thinking of artists and philosophers to reuse scientific concepts in their works.The useful reference text consists of non-typical topics, where artistic and philosophical concepts encourage readers to adopt unconventional approaches towards computing and immerse themselves into discoveries of future emerging landscape.Related Link(s)
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 presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.
Book Synopsis Handbook of Artificial Intelligence for Music by : Eduardo Reck Miranda
Download or read book Handbook of Artificial Intelligence for Music written by Eduardo Reck Miranda and published by Springer Nature. This book was released on 2021-07-02 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.
Interactive marketing, as one of the fastest growing academic fields in contemporary business world, is the multi-directional value creation and mutual-influence marketing process through active customer connection, engagement, participation and interaction. Contemporary interactive marketing has moved beyond the scope of direct marketing or digital marketing, as the market is becoming a forum for conversations and interactions among connected actors or participants in platform ecosystems. The advancement of mobile technology with interactive content and personalized experience makes interactive marketing the new normal in the business world. This handbook contains the most comprehensive and cutting-edge knowledge in the interactive marketing field. The 41 chapters that are divided into eight sections cover all aspects of contemporary interactive marketing realm, including social media and influencer marketing, big data and machine learning in predictive analytics, mobile marketing and proximity marketing, interactive digital marketing and Omnichannel marketing, AI, VR and AR in business applications. With a focal point on interactive marketing, this handbook takes a multidiscipline perspective, from new technology innovations, social media and platform application, economic and cultural impacts, social and psychological analysis, and management and information system. This book provides a timely and comprehensive textbook companion and/or course project resource for college educators and students used for variety of graduate and undergraduate marketing courses, such as Digital Marketing, Internet Marketing, Social Media Marketing, New Media Communication, Marketing Analytics and Marketing Management, etc. It offers valuable references for academic researchers who are interesting conducting and publishing in interactive marketing research. The state-of-art review and emerging new trends presented in the book are particularly useful for research idea generation and conceptual development. The book also putts forward insightful guidelines and practical tools for business management in the application of new interactive marketing strategies and applications in the real world practices. Chapter 41 “Ethical Considerations in Gamified Interactive Marketing Praxis” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Book Synopsis The Palgrave Handbook of Interactive Marketing by : Cheng Lu Wang
Download or read book The Palgrave Handbook of Interactive Marketing written by Cheng Lu Wang and published by Springer Nature. This book was released on 2023-01-25 with total page 1070 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interactive marketing, as one of the fastest growing academic fields in contemporary business world, is the multi-directional value creation and mutual-influence marketing process through active customer connection, engagement, participation and interaction. Contemporary interactive marketing has moved beyond the scope of direct marketing or digital marketing, as the market is becoming a forum for conversations and interactions among connected actors or participants in platform ecosystems. The advancement of mobile technology with interactive content and personalized experience makes interactive marketing the new normal in the business world. This handbook contains the most comprehensive and cutting-edge knowledge in the interactive marketing field. The 41 chapters that are divided into eight sections cover all aspects of contemporary interactive marketing realm, including social media and influencer marketing, big data and machine learning in predictive analytics, mobile marketing and proximity marketing, interactive digital marketing and Omnichannel marketing, AI, VR and AR in business applications. With a focal point on interactive marketing, this handbook takes a multidiscipline perspective, from new technology innovations, social media and platform application, economic and cultural impacts, social and psychological analysis, and management and information system. This book provides a timely and comprehensive textbook companion and/or course project resource for college educators and students used for variety of graduate and undergraduate marketing courses, such as Digital Marketing, Internet Marketing, Social Media Marketing, New Media Communication, Marketing Analytics and Marketing Management, etc. It offers valuable references for academic researchers who are interesting conducting and publishing in interactive marketing research. The state-of-art review and emerging new trends presented in the book are particularly useful for research idea generation and conceptual development. The book also putts forward insightful guidelines and practical tools for business management in the application of new interactive marketing strategies and applications in the real world practices. Chapter 41 “Ethical Considerations in Gamified Interactive Marketing Praxis” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This first definitive reference resource to take a broad interdisciplinary approach to the nexus between music and the social and behavioral sciences examines how music affects human beings and their interactions in and with the world. The interdisciplinary nature of the work provides a starting place for students to situate the status of music within the social sciences in fields such as anthropology, communications, psychology, linguistics, sociology, sports, political science and economics, as well as biology and the health sciences. Features: Approximately 450 articles, arranged in A-to-Z fashion and richly illustrated with photographs, provide the social and behavioral context for examining the importance of music in society. Entries are authored and signed by experts in the field and conclude with references and further readings, as well as cross references to related entries. A Reader's Guide groups related entries by broad topic areas and themes, making it easy for readers to quickly identify related entries. A Chronology of Music places material into historical context; a Glossary defines key terms from the field; and a Resource Guide provides lists of books, academic journals, websites and cross-references. The multimedia digital edition is enhanced with video and audio clips and features strong search-and-browse capabilities through the electronic Reader’s Guide, detailed index, and cross references. Music in the Social and Behavioral Sciences, available in both multimedia digital and print formats, is a must-have reference for music and social science library collections.
Book Synopsis Music in the Social and Behavioral Sciences by : William Forde Thompson
Download or read book Music in the Social and Behavioral Sciences written by William Forde Thompson and published by SAGE Publications. This book was released on 2014-07-18 with total page 1350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first definitive reference resource to take a broad interdisciplinary approach to the nexus between music and the social and behavioral sciences examines how music affects human beings and their interactions in and with the world. The interdisciplinary nature of the work provides a starting place for students to situate the status of music within the social sciences in fields such as anthropology, communications, psychology, linguistics, sociology, sports, political science and economics, as well as biology and the health sciences. Features: Approximately 450 articles, arranged in A-to-Z fashion and richly illustrated with photographs, provide the social and behavioral context for examining the importance of music in society. Entries are authored and signed by experts in the field and conclude with references and further readings, as well as cross references to related entries. A Reader's Guide groups related entries by broad topic areas and themes, making it easy for readers to quickly identify related entries. A Chronology of Music places material into historical context; a Glossary defines key terms from the field; and a Resource Guide provides lists of books, academic journals, websites and cross-references. The multimedia digital edition is enhanced with video and audio clips and features strong search-and-browse capabilities through the electronic Reader’s Guide, detailed index, and cross references. Music in the Social and Behavioral Sciences, available in both multimedia digital and print formats, is a must-have reference for music and social science library collections.
