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Music Emotion Recognition


Music Emotion Recognition
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Music Emotion Recognition


Music Emotion Recognition
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Author : Yi-Hsuan Yang
language : en
Publisher: CRC Press
Release Date : 2011-02-22

Music Emotion Recognition written by Yi-Hsuan Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Computers categories.


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


Music Emotion Recognition
DOWNLOAD
Author : Yi-Hsuan Yang
language : en
Publisher: CRC Press
Release Date : 2011-02-22

Music Emotion Recognition written by Yi-Hsuan Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Computers categories.


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.



Music Emotion Recognition


Music Emotion Recognition
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Author : Yi-Hsuan Yang
language : en
Publisher: CRC Press
Release Date : 2011-02-22

Music Emotion Recognition written by Yi-Hsuan Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-22 with Computers categories.


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.



From Content Based Music Emotion Recognition To Emotion Maps Of Musical Pieces


From Content Based Music Emotion Recognition To Emotion Maps Of Musical Pieces
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Author : Jacek Grekow
language : en
Publisher: Springer
Release Date : 2017-11-02

From Content Based Music Emotion Recognition To Emotion Maps Of Musical Pieces written by Jacek Grekow and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-02 with Technology & Engineering categories.


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.



Proceedings Of Icetit 2019


Proceedings Of Icetit 2019
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Author : Pradeep Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2019-09-23

Proceedings Of Icetit 2019 written by Pradeep Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-23 with Computers categories.


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.



Cognitive Analytics Concepts Methodologies Tools And Applications


Cognitive Analytics Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2020-03-06

Cognitive Analytics Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-06 with Science categories.


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.



Wings Of Fire


Wings Of Fire
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Author : Avul Pakir Jainulabdeen Abdul Kalam
language : en
Publisher: Universities Press
Release Date : 1999

Wings Of Fire written by Avul Pakir Jainulabdeen Abdul Kalam and has been published by Universities Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Biography & Autobiography categories.


Avul Pakir Jainulabdeen Abdul Kalam, The Son Of A Little-Educated Boat-Owner In Rameswaram, Tamil Nadu, Had An Unparalled Career As A Defence Scientist, Culminating In The Highest Civilian Award Of India, The Bharat Ratna. As Chief Of The Country`S Defence Research And Development Programme, Kalam Demonstrated The Great Potential For Dynamism And Innovation That Existed In Seemingly Moribund Research Establishments. This Is The Story Of Kalam`S Rise From Obscurity And His Personal And Professional Struggles, As Well As The Story Of Agni, Prithvi, Akash, Trishul And Nag--Missiles That Have Become Household Names In India And That Have Raised The Nation To The Level Of A Missile Power Of International Reckoning.



Music Emotion Recognition On Lyrics Using Natural Language Processing


Music Emotion Recognition On Lyrics Using Natural Language Processing
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Author : Yinan Zhou
language : en
Publisher:
Release Date : 2022

Music Emotion Recognition On Lyrics Using Natural Language Processing written by Yinan Zhou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.


"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"--



Never Let Me Go


Never Let Me Go
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Author : Kazuo Ishiguro
language : en
Publisher: Vintage Canada
Release Date : 2009-03-19

Never Let Me Go written by Kazuo Ishiguro and has been published by Vintage Canada this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-19 with Fiction categories.


NOBEL PRIZE WINNER • 20TH ANNIVERSARY EDITION • The moving, suspenseful, beautifully atmospheric modern classic from the acclaimed author of The Remains of the Day and Klara and the Sun—“a Gothic tour de force" (The New York Times) with an extraordinary twist. With a new introduction by the author. As children, Kathy, Ruth, and Tommy were students at Hailsham, an exclusive boarding school secluded in the English countryside. It was a place of mercurial cliques and mysterious rules where teachers were constantly reminding their charges of how special they were. Now, years later, Kathy is a young woman. Ruth and Tommy have reentered her life. And for the first time she is beginning to look back at their shared past and understand just what it is that makes them special—and how that gift will shape the rest of their time together.



Deep Learning In Personalized Music Emotion Recognition


Deep Learning In Personalized Music Emotion Recognition
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Author : Yannik Venohr
language : en
Publisher: Springer Nature
Release Date : 2025-04-28

Deep Learning In Personalized Music Emotion Recognition written by Yannik Venohr and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Mathematics categories.


Music has a unique power to evoke strong emotions in us—bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transcend words. But are machines, too, able to understand this language and capture emotions conveyed in music? This book delves into the field of Musical Emotion Recognition (MER), aiming to develop a mathematical model to predict the emotional content of music. It explores the fundamentals of this interdisciplinary research area, including the relationship between music and emotions, mathematical representations of music and deep learning algorithms. Two MER models are developed and evaluated: one employing handcrafted audio features with a long short-term memory architecture and the other using embeddings from the pre-trained music understanding model MERT. Results show that MERT embeddings can enhance predictions compared to traditional handcrafted features. Additionally, driven by the subjectivity of musical emotions and the low inter-rater agreement of annotations, this book investigates personalized emotion recognition. The findings suggest that personalized models surpass the limitations of general MER systems and can even outperform a theoretically perfect general MER system.