From 8e3b451c2cabc69af620b9f22e1243ddf0b49e00 Mon Sep 17 00:00:00 2001 From: Jaeyong Kang Date: Fri, 22 Mar 2024 00:06:47 +0800 Subject: [PATCH] Update README.md --- README.md | 43 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) diff --git a/README.md b/README.md index 2b424e9..f323089 100644 --- a/README.md +++ b/README.md @@ -14,6 +14,49 @@ A curated list of Datasets, Models and Papers for Music Emotion Recognition (MER - [Datasets](#datasets) ## Models +| Paper | Year | Feature Modalities | Approach | Emotion Model | Dataset | +|-------|------|--------------------|----------|---------------|---------| +| Recognizing Song Mood and Theme: Clustering-based Ensembles | - | - | Clustering-based Ensembles | - | - | +| Semi-Supervised Music Emotion Recognition using Noisy Student Training and Harmonic Pitch Class Profiles | - | - | Semi-Supervised, Noisy Student Training, Harmonic Pitch Class Profiles | - | - | +| Frequency Dependent Convolutions for Music Tagging | - | - | Frequency Dependent Convolutions | - | - | +| SELAB-HCMUS at MediaEval 2021: Music Theme and Emotion Classification with Co-teaching Training Strategy | - | - | Co-teaching Training Strategy | - | - | +| Music Emotion Recognition using Recurrent Neural Networks and Pretrained Models | 2021 | - | Recurrent Neural Networks, Pretrained Models | - | - | +| Study on Music Emotion Recognition Based on the Machine Learning Model Clustering Algorithm | 2022 | - | Machine Learning Model Clustering Algorithm | - | - | +| Tracing Back Music Predictions to Sound Sources and Intuitive Perceptual Qualities | 2021 | - | - | - | - | +| Music Mood Detection Based On Audio And Lyrics With Deep Neural Net | 2018 | Audio, Lyrics | Deep Neural Net | - | - | +| Transformer-based approach towards music emotion recognition from lyrics | 2021 | Lyrics | Transformer-based | - | - | +| Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profiles | 2021 | Harmonic Pitch Class Profiles | Noisy Student Training | - | - | +| Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics | 2023 | Audio, Lyrics | Multi-Modality | - | - | +| Music Emotion Recognition Based on a Neural Network with an Inception-GRU Residual Structure | 2023 | - | Neural Network with Inception-GRU Residual Structure | - | - | +| A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition | 2022 | - | Multi-Task Learning | - | - | +| Feature Selection Approaches for Optimising Music Emotion Recognition Methods | 2022 | - | Feature Selection | - | - | +| Modelling Emotion Dynamics in Song Lyrics with State Space Models | 2022 | Lyrics | State Space Models | - | - | +| Fine-tuned XLMRoBERTa for Music Emotion Recognition in Telugu Songs | 2023 | - | Fine-tuned XLMRoBERTa | - | - | +| Deep Learning for Music Emotion Recognition: A Survey | 2020 | - | Deep Learning | - | - | +| Convolutional Neural Networks with Local Attention for Music Emotion Recognition | 2020 | - | Convolutional Neural Networks, Local Attention | - | - | +| Emotion Recognition from Music and Lyrics: A Deep Learning Approach | 2019 | Audio, Lyrics | Deep Learning | - | - | +| A Survey on Multimodal Music Emotion Recognition | 2020 | Audio, Lyrics | Multimodal | - | - | +| Context-Aware Music Emotion Recognition Using Attention Based Neural Networks | 2020 | - | Attention Based Neural Networks | - | - | +| Personalization of Music Emotion Recognition: A User-Adaptive Deep Learning Approach | 2021 | - | User-Adaptive Deep Learning | - | - | +| Towards Explainable Music Emotion Recognition: A Case Study with Transformers | 2022 | - | Transformers | - | - | +| Explainable Music Emotion Recognition with Attention-Based Capsule Networks | 2023 | - | Attention-Based Capsule Networks | - | - | +| Music Emotion Recognition for More Than Basic Emotions | 2020 | - | - | More Than Basic Emotions | - | +| Dimensional Music Emotion Recognition with a Multi-Task Learning Approach | 2022 | - | Multi-Task Learning | Dimensional | - | +| Music Emotion Recognition with Self-Attention Based Capsule Networks | 2022 | - | Self-Attention Based Capsule Networks | - | - | +| A Generative Adversarial Network Approach for Learning Emotion Representations from Music Audio | 2020 | - | Generative Adversarial Network | - | - | +| Music Emotion Transfer with Conditional Variational Autoencoders | 2021 | - | Conditional Variational Autoencoders | - | - | +| Musical Genre Aware Music Emotion Recognition with Attention Mechanism | 2022 | - | Attention Mechanism | - | - | +| Music Emotion Recognition in Social Media Videos | 2020 | - | - | - | - | +| Music Emotion Recognition with Graph Convolutional Networks | 2023 | - | Graph Convolutional Networks | - | - | +| Music Emotion Recognition Using Transformers with Rhythm Attention | 2023 | - | Transformers with Rhythm Attention | - | - | +| Music Recommendation with Emotion-Aware Generative Adversarial Networks | 2022 | - | Emotion-Aware Generative Adversarial Networks | - | - | +| Generating Emotional Music with Conditional Variational Autoencoders | 2021 | - | Conditional Variational Autoencoders | - | - | +| The DEAP Dataset for Recognition of Human Emotions | 2012 | - | - | - | DEAP Dataset | +| A Dataset for Music Emotion Recognition in the Wild | 2018 | - | - | - | Music Emotion Recognition in the Wild Dataset | +| Music Emotion Recognition from Lyrics Using Deep Attention Networks | 2020 | Lyrics | Deep Attention Networks | - | - | +| Music Emotion Recognition with Multimodal Fusion of Lyrics and Spectrograms | 2022 | Audio, Lyrics, Spectrograms | Multimodal Fusion | - | - | + + ## Datasets | Dataset | Year | Content | Format | Size | Type | Perceived/Induced |