Results 11 to 20 of about 219,471 (286)

Exploring different approaches for music genre classification

open access: yesEgyptian Informatics Journal, 2012
In this letter, we present different approaches for music genre classification. The proposed techniques, which are composed of a feature extraction stage followed by a classification procedure, explore both the variations of parameters used as input and ...
Antonio Jose Homsi Goulart   +2 more
doaj   +3 more sources

“The Naming of Cats”: Automated Genre Classification

open access: yesInternational Journal of Digital Curation, 2007
This paper builds on the work presented at the ECDL 2006 in automated genre classification as a step toward automating metadata extraction from digital documents for ingest into digital repositories such as those run by archives, libraries and eprint ...
Yunhyong Kim, Seamus Ross
doaj   +4 more sources

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

open access: yesSakarya 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

Indonesian Music Classification on Folk and Dangdut Genre Based on Rolloff Spectral Feature Using Support Vector Machine (SVM) Algorithm

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021
Music Genre Classification is one of the interesting digital music processing topics. Genre is a category of artistry, in this case, especially music, to characterize and categorize music is now available in various forms and sources.
Brizky Ramadhani Ismanto   +2 more
doaj   +1 more source

Deformer: Denoising Transformer for Improved Audio Music Genre Classification

open access: yesApplied Sciences, 2023
Audio music genre classification is performed to categorize audio music into various genres. Traditional approaches based on convolutional recurrent neural networks do not consider long temporal information, and their sequential structures result in ...
Jigang Wang, Shuyu Li, Yunsick Sung
doaj   +1 more source

Stable Classification of Text Genres [PDF]

open access: yesComputational Linguistics, 2011
Every text has at least one topic and at least one genre. Evidence for a text's topic and genre comes, in part, from its lexical and syntactic features—features used in both Automatic Topic Classification and Automatic Genre Classification (AGC). Because an ideal AGC system should be stable in the face of changes in topic distribution, we assess five ...
Philipp Petrenz, Bonnie Webber
openaire   +2 more sources

Music Genre Classification Algorithm Based on Multihead Attention Mechanism

open access: yesAdvances in Multimedia, 2022
Retrieving music information is indispensable and divided into multiple genres. Music genres can be attributed to set categories, which are the indispensable functions of intelligent music recommendation systems.
Peng Cheng
doaj   +1 more source

Extending Deep Rhythm for Tempo and Genre Estimation Using Complex Convolutions, Multitask Learning and Multi-input Network

open access: yesJournal of Creative Music Systems, 2022
Tempo and genre are two inter-leaved aspects of music, genres are often associated to rhythm patterns which are played in specific tempo ranges. In this paper, we focus on the Deep Rhythm system based on a harmonic representation of rhythm used as an ...
Hadrien Foroughmand Aarabi   +1 more
doaj   +1 more source

Improving music genre classification using automatically induced harmony rules [PDF]

open access: yes, 2010
We present a new genre classification framework using both low-level signal-based features and high-level harmony features. A state-of-the-art statistical genre classifier based on timbral features is extended using a first-order random forest containing
Anglade, A.   +3 more
core   +3 more sources

Music Genre Classification Using Neural Network [PDF]

open access: yesITM Web of Conferences, 2022
Music Genre classification on Neural Network is presented in this article. The research work uses spectrogram images generated from the songs timeslices and given as input to NN to do classification of songs to their respective musical genre.
Shaikh Tarannum, Jadhav Ashish
doaj   +1 more source

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