SOTAVerified

Music Genre Classification

Papers

Showing 125 of 56 papers

TitleStatusHype
Pre-training Music Classification Models via Music Source SeparationCode2
Codified audio language modeling learns useful representations for music information retrievalCode1
MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classificationCode1
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram FeaturesCode1
Hierarchical quantum circuit representations for neural architecture searchCode1
S3T: Self-Supervised Pre-training with Swin Transformer for Music ClassificationCode1
Low-Resource Music Genre Classification with Cross-Modal Neural Model ReprogrammingCode1
Multi-Source Contrastive Learning from Musical AudioCode1
Masked Latent Prediction and Classification for Self-Supervised Audio Representation LearningCode1
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP BlockCode1
Convolutional Neural Network Achieves Human-level Accuracy in Music Genre ClassificationCode0
Texture Selection for Automatic Music Genre ClassificationCode0
Integrated Parameter-Efficient Tuning for General-Purpose Audio ModelsCode0
Uncertainty Calibration for Deep Audio ClassifiersCode0
Bottom-up Broadcast Neural Network For Music Genre ClassificationCode0
A Study on Broadcast Networks for Music Genre ClassificationCode0
Music Genre Classification using Large Language ModelsCode0
Lyrics-Based Music Genre Classification Using a Hierarchical Attention NetworkCode0
Machine learning for music genre: multifaceted review and experimentation with audiosetCode0
MATT: A Multiple-instance Attention Mechanism for Long-tail Music Genre ClassificationCode0
Music Genre Classification with Paralleling Recurrent Convolutional Neural NetworkCode0
Multi-label Music Genre Classification from Audio, Text, and Images Using Deep FeaturesCode0
Audio Classification of Bit-Representation Waveform0
Classification of Audio Segments in Call Center Recordings using Convolutional Recurrent Neural Networks0
Heuristic Ternary Error-Correcting Output Codes Via Weight Optimization and Layered Clustering-Based Approach0
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