Genre classification
46 papers with code • 2 benchmarks • 6 datasets
Genre classification is the process of grouping objects together based on defined similarities such as shape, pixel, location, or intensity.
FMA
Moviescope
MuMu
Trailers12k
PTVD
Most implemented papers
Gated Multimodal Units for Information Fusion
The Gated Multimodal Unit (GMU) model is intended to be used as an internal unit in a neural network architecture whose purpose is to find an intermediate representation based on a combination of data from different modalities.
Judging a Book By its Cover
Book covers communicate information to potential readers, but can that same information be learned by computers?
Music Genre Classification with Paralleling Recurrent Convolutional Neural Network
andresmanzalini/ClasificacionGeneroMusical_DL
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Deep learning has been demonstrated its effectiveness and efficiency in music genre classification.
Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification
ds7711/music_genre_classification
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Here, we propose a new method that combines knowledge of human perception study in music genre classification and the neurophysiology of the auditory system.
Texture Selection for Automatic Music Genre Classification
In this paper, we evaluate the impact of frame selection on automatic music genre classification in a bag of frames scenario.
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns
The importance of repetitions in music is well-known.
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
microsoft/muzic
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Findings (ACL) 2021
Inspired by the success of pre-training models in natural language processing, in this paper, we develop MusicBERT, a large-scale pre-trained model for music understanding.
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features
mir-aidj/edm-subgenre-classifier
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Along with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years.
Hierarchical quantum circuit representations for neural architecture search
The QCNN is a circuit model inspired by the architecture of Convolutional Neural Networks (CNNs).
Pre-training Music Classification Models via Music Source Separation
cgaroufis/msspt
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In this paper, we study whether music source separation can be used as a pre-training strategy for music representation learning, targeted at music classification tasks.
