Music Emotion Recognition
5 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Music Emotion Recognition
RAVDESS
Most implemented papers
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
In previous work, we have shown how to derive explanations of model predictions in terms of spectrogram image segments that connect to the high-level emotion prediction via a layer of easily interpretable perceptual features.
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
Dohppak/Music-Emotion-Recognition-Classification
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We consider the task of multimodal music mood prediction based on the audio signal and the lyrics of a track.
Transformer-based approach towards music emotion recognition from lyrics
yudhik11/MER-lyrics-Transformer
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The task of identifying emotions from a given music track has been an active pursuit in the Music Information Retrieval (MIR) community for years.
Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles
gudgud96/noisy-student-emotion-training
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As the noisy student method requires a strong teacher model, we further delve into the factors including (i) input training length and (ii) complementary music representations to further boost the performance of the teacher model.
Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics
tibor-krols/cogsci2-spotify
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This paper aims to test whether a multi-modal approach for music emotion recognition (MER) performs better than a uni-modal one on high-level song features and lyrics.
