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Music Genre Classification

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Showing 1–25 of 56 papers

TitleStatusHype
Pre-training Music Classification Models via Music Source SeparationCode2
Masked Latent Prediction and Classification for Self-Supervised Audio Representation LearningCode1
Multi-Source Contrastive Learning from Musical AudioCode1
Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP BlockCode1
Low-Resource Music Genre Classification with Cross-Modal Neural Model ReprogrammingCode1
Hierarchical quantum circuit representations for neural architecture searchCode1
S3T: Self-Supervised Pre-training with Swin Transformer for Music ClassificationCode1
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram FeaturesCode1
MS-SincResNet: Joint learning of 1D and 2D kernels using multi-scale SincNet and ResNet for music genre classificationCode1
Codified audio language modeling learns useful representations for music information retrievalCode1
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAPCode0
BAN: Neuroanatomical Aligning in Auditory Recognition between Artificial Neural Network and Human Cortex—0
Multi-label Cross-lingual automatic music genre classification from lyrics with Sentence BERT—0
Music Genre Classification: Ensemble Learning with Subcomponents-level Attention—0
Attention-guided Spectrogram Sequence Modeling with CNNs for Music Genre Classification—0
Audio Processing using Pattern Recognition for Music Genre Classification—0
Music Genre Classification using Large Language ModelsCode0
Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization—0
Music Genre Classification: Training an AI model—0
Music Genre Classification: A Comparative Analysis of CNN and XGBoost Approaches with Mel-frequency cepstral coefficients and Mel Spectrograms—0
Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture—0
Music Genre Classification with ResNet and Bi-GRU Using Visual Spectrograms—0
Integrated Parameter-Efficient Tuning for General-Purpose Audio ModelsCode0
Convolution channel separation and frequency sub-bands aggregation for music genre classification—0
Masked Modeling Duo: Learning Representations by Encouraging Both Networks to Model the InputCode0
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