Téléchargez le livre : Deep Learning in Personalized Music Emotion Recognition

Deep Learning in Personalized Music Emotion Recognition

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Springer Vieweg


Paru le : 2025-04-28

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Description

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.
Pages
101 pages
Collection
n.c
Parution
2025-04-28
Marque
Springer Vieweg
EAN papier
9783658469962
EAN PDF
9783658469979
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
4506 Ko
Prix
73,84 €
EAN EPUB
9783658469979
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
8571 Ko
Prix
73,84 €

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