Results 1 to 10 of about 87,020 (181)

Towards the use of similarity distances to music genre classification: A comparative study. [PDF]

PLoS ONE, 2018
Music genre classification is a challenging research concept, for which open questions remain regarding classification approach, music piece representation, distances between/within genres, and so on.
Izaro Goienetxea, José María Martínez-Otzeta, Basilio Sierra, Iñigo Mendialdua   +3 more
doaj   +8 more sources

3D-DCDAE: Unsupervised Music Latent Representations Learning Method Based on a Deep 3D Convolutional Denoising Autoencoder for Music Genre Classification

Mathematics, 2021
With unlabeled music data widely available, it is necessary to build an unsupervised latent music representation extractor to improve the performance of classification models.
Lvyang Qiu, Shuyu Li, Yunsick Sung
doaj   +3 more sources

An improved ViT model for music genre classification based on mel spectrogram. [PDF]

PLoS ONE
Automating the task of music genre classification offers opportunities to enhance user experiences, streamline music management processes, and unlock insights into the rich and diverse world of music.
Pingping Wu, Weijie Gao, Yitao Chen, Fangfang Xu, Yanzhe Ji, Juan Tu, Han Lin   +6 more
doaj   +2 more sources

Adaptive Feature Fusion Gate and Gated Channel-Spatial Attention in CNN-Transformer Models for Music Genre Classification. [PDF]

PLoS ONE
With the rapid growth of music data, automatic music genre classification has become a critical task in music information retrieval. Traditional methods based on handcrafted features are increasingly inadequate when handling large-scale analysis.
Yunyan Ma, Zhenwu Ding, Shuang Wan, Hui Li, Yuan Xu   +4 more
doaj   +2 more sources

Music genre classification with modified residual learning and dual neural network. [PDF]

PLoS ONE
Music Genre is an abstract property of music that can identify shared traditions and conventions. In the recent past, music genre classification has shown a significant role in MIR that has attracted the research community to draw attention all around ...
Mohsin Ashraf, Fazeel Abid, Muhammad Owais Raza, Jawad Rasheed, Shtwai Alsubai, Tunc Asuroglu   +5 more
doaj   +2 more sources

Machine Learning for Music Genre Classification Using Visual Mel Spectrum

Mathematics, 2022
Music is the most convenient and easy-to-use stress release tool in modern times. Many studies have shown that listening to appropriate music can release stress.
Yu-Huei Cheng, Che-Nan Kuo
doaj   +3 more sources

Locally Activated Gated Neural Network for Automatic Music Genre Classification

Applied Sciences, 2023
Automatic music genre classification is a prevailing pattern recognition task, and many algorithms have been proposed for accurate classification. Considering that the genre of music is a very broad concept, even music within the same genre can have ...
Zhiwei Liu, Ting Bian, Minglai Yang
doaj   +3 more sources

Texture selection for automatic music genre classification [PDF]

Applied Soft Computing Journal, 2020
Submitted to Pattern Recognition (may, 2019)
Juliano Henrique Foleis, Tiago Fernandes Tavares   +1 more
exaly   +3 more sources

TS-Resformer: a model based on multimodal fusion for the classification of music signals [PDF]

Frontiers in Neurorobotics
The number of music of different genres is increasing year by year, and manual classification is costly and requires professionals in the field of music to manually design features, some of which lack the generality of music genre classification.
Yilin Zhang
doaj   +2 more sources

Music genre classification with parallel convolutional neural networks and capuchin search algorithm [PDF]

Scientific Reports
With the primary objective of creating playlists that suggest songs, interest in music genre categorization has grown thanks to high-tech multimedia tools.
Yuxin Zhang, Teng Li
doaj   +2 more sources