Music Emotion Recognition
5 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Music Emotion Recognition
RAVDESS
Latest papers with no code
Tollywood Emotions: Annotation of Valence-Arousal in Telugu Song Lyrics
Fine-tuned XLMRoBERTa performs better than the SVM by improving macro-averaged F1-scores of 54. 69%, 67. 61%, 34. 13% to 77. 90%, 80. 71% and 58. 33% for valence, arousal and quadrant classifications, respectively, on 10-fold cross-validation.
Feature Selection Approaches for Optimising Music Emotion Recognition Methods
The result indicates that the performance of MER has improved for both Random Forest (RF) and Support Vector Regression (SVR) models by using SFS.
Modelling Emotion Dynamics in Song Lyrics with State Space Models
In this work, we propose a method to predict emotion dynamics in song lyrics without song-level supervision.
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition
In this paper, we present a simple multi-task framework for SMER, which incorporates the emotion recognition task with other emotion-related auxiliary tasks derived from the intrinsic structure of the music.
Use of Variational Inference in Music Emotion Recognition
This work was developed aiming to employ Statistical techniques to the field of Music Emotion Recognition, a well-recognized area within the Signal Processing world, but hardly explored from the statistical point of view.
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning
The task of classifying emotions within a musical track has received widespread attention within the Music Information Retrieval (MIR) community.
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition
We implement several multi-class classifiers with deep audio embeddings to predict emotion semantics in music.
Neural Network architectures to classify emotions in Indian Classical Music
Music is often considered as the language of emotions.
Audio Content Analysis
With a focus on Music Information Retrieval systems, this chapter defines musical audio content, introduces the general process of audio content analysis, and surveys basic approaches to audio content analysis.
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models
In this study, we examine whether we can analyze and compare Western and Chinese classical music based on soundscape models.
