Results 1 to 10 of about 219,372 (187)

Automatic Genre Classification of Musical Signals [PDF]

EURASIP Journal on Advances in Signal Processing, 2007
We present a strategy to perform automatic genre classification of musical signals. The technique divides the signals into 21.3 milliseconds frames, from which 4 features are extracted.
Amauri Lopes, Jayme Garcia Arnal Barbedo
doaj   +5 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

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

Detecting Family Resemblance: Automated Genre Classification [PDF]

Data Science Journal, 2007
This paper presents results in automated genre classification of digital documents in PDF format. It describes genre classification as an important ingredient in contextualising scientific data and in retrieving targetted material for improving research.
Yunhyong Kim, Seamus Ross
doaj   +5 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

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

A Short Survey and Comparison of CNN-Based Music Genre Classification Using Multiple Spectral Features

IEEE Access
The goal of music genre classification is to identify the genre of given feature vectors representing certain characteristics of music clips. In addition, to improve the accuracy of music genre classification, considerable research has been conducted on ...
Wangduk Seo, Sung-Hyun Cho, Pawe Teisseyre, Jaesung Lee   +3 more
doaj   +3 more sources