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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   +3 more sources

An interpretable multi-transformer ensemble for text-based movie genre classification [PDF]

PeerJ Computer Science
Multi-label movie genre classification is challenging due to the inherent ambiguity and overlap between different genres. Most of the existing works in genre classification use audio-visual modalities.
Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Nouf Nawar Alotaibi, Salma Mohsen M. Alnefaie   +5 more
doaj   +3 more sources

Genre Classification of Books on Spanish

IEEE Access, 2023
Genre categorization of published titles is a common practice in publishing houses, libraries, and bookstores, as well as a fundamental element of editorial marketing.
Juan Arturo Nolazco-Flores, Ana Veronica Guerrero-Galvan, Carolina Del-Valle-Soto, Leibny Paola Garcia-Perera   +3 more
doaj   +2 more sources

A Genre Classification Scheme for Metal-Music Corpus Studies: An Eleven-Bucket and Seventeen-Category Encoding of Encyclopaedia Metallum Genre Strings [PDF]

Data
This data descriptor documents a two-level genre classification scheme for metal-music corpus studies derived from Encyclopaedia Metallum’s multi-label genre strings.
Ignacio Soto-Silva
doaj   +2 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

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

Enhancing book genre classification with BERT and InceptionV3: a deep learning approach for libraries [PDF]

PeerJ Computer Science
Accurate book genre classification is essential for library organization, information retrieval, and personalized recommendations. Traditional classification methods, often reliant on manual categorization and metadata-based approaches, struggle with the
Xinting Yang, Zehua Zhang
doaj   +3 more sources

Deep Multi-Modal Kernel Map Network for Music Genre Classification

Algorithms
Music genre classification is an important task in the music information retrieval community that aims to categorize music samples by genre; it can help to retrieve music more easily and efficiently from huge digital music resources.
Qun Wang, Mingyuan Jiu
doaj   +2 more sources

Joint spectro-temporal and perceptual feature learning using a dual-track attention network for music genre classification. [PDF]

Front Artif Intell
Hari VA, Jenish SA, Karthik R, Ananya M.
europepmc   +3 more sources

The Effect of Derived Features on Art Genre Classification with Machine Learning

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2021
Classification of the artwork according to their genres is being done for years. Although this process was used to be done by art experts before, now artificial intelligence techniques may help people manage this classification task.
Didem Abidin
doaj   +1 more source