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.

Most implemented papers

Gated Multimodal Units for Information Fusion

johnarevalo/gmu-mmimdb 7 Feb 2017

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

uchidalab/book-dataset 28 Oct 2016

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 22 Dec 2017

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 27 Feb 2018

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

julianofoleiss/lmd_3f_stratified_artist_filter 28 May 2019

In this paper, we evaluate the impact of frame selection on automatic music genre classification in a bag of frames scenario.

MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

microsoft/muzic 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 17 Oct 2021

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

matt-lourens/hierarqcal 26 Oct 2022

The QCNN is a circuit model inspired by the architecture of Convolutional Neural Networks (CNNs).

Explaining Deep Convolutional Neural Networks on Music Classification

keunwoochoi/Auralisation 8 Jul 2016

Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e. g. genre classification, mood detection, and chord recognition.