Music Emotion Recognition

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (35 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
  23 Sep 2024 2 repositories listed
  The complex nature of musical emotion introduces inherent bias in both recognition and generation, particularly when relying on a single audio encoder, emotion classifier, or evaluation metric.
• Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
  14 Jun 2021 2 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  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…
• Towards Unified Music Emotion Recognition across Dimensional and Categorical Models
  6 Feb 2025 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Moreover, knowledge distillation is employed to transfer the knowledge of teacher models trained on individual datasets to a student model, enhancing its ability to generalize across multiple tasks.
• Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
  26 Dec 2024 1 repository listed
  Motivated by these issues, we explore more effective sequence processing methods and introduce the Personalized DMER (PDMER) problem, which requires models to predict emotions that align with personalized perception.
• Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction
  15 Oct 2024 1 repository listed
  In this work, we present a novel method for music emotion recognition that leverages Large Language Model (LLM) embeddings for label alignment across multiple datasets and zero-shot prediction on novel categories.
• Are We There Yet? A Brief Survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges
  13 Jun 2024 1 repository listed
  Deep learning models for music have advanced drastically in recent years, but how good are machine learning models at capturing emotion, and what challenges are researchers facing?
• Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics
  26 Feb 2023 1 repository listed
  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.
• Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles
  1 Dec 2021 1 repository listed
  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…
• Transformer-based approach towards music emotion recognition from lyrics
  6 Jan 2021 1 repository listed
  The task of identifying emotions from a given music track has been an active pursuit in the Music Information Retrieval (MIR) community for years.
• Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
  19 Sep 2018 1 repository listed
  We consider the task of multimodal music mood prediction based on the audio signal and the lyrics of a track.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.