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
The emotions that we perceive in music: the influence of language and lyrics comprehension on agreement
Our goal is to understand the influence of lyrics comprehension on the perception of emotions and use this information to improve Music Emotion Recognition (MER) models.
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features
Emotional aspects play an important part in our interaction with music.
A New Multilabel System for Automatic Music Emotion Recognition
Achieving advancements in automatic recognition of emotions that music can induce require considering multiplicity and simultaneity of emotions.
Two-level Explanations in Music Emotion Recognition
Current ML models for music emotion recognition, while generally working quite well, do not give meaningful or intuitive explanations for their predictions.
Text-based Sentiment Analysis and Music Emotion Recognition
Second, there are various uncertainties regarding the use of word embedding vectors: should they be generated from the same data set that is used to train the model or it is better to source them from big and popular collections?
Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition
This paper studies the emotion recognition from musical tracks in the 2-dimensional valence-arousal (V-A) emotional space.
CNN based music emotion classification
Music emotion recognition (MER) is usually regarded as a multi-label tagging task, and each segment of music can inspire specific emotion tags.
Fusion of EEG and Musical Features in Continuous Music-emotion Recognition
Emotion estimation in music listening is confronting challenges to capture the emotion variation of listeners.
