Results 21 to 30 of about 219,471 (286)
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
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Building a document genre corpus: a profile of the KRYS I corpus [PDF]
, 2008 This paper describes the KRYS I corpus, consisting of documents classified into 70 genre classes. It has been constructed as part of an effort to automate document genre classification as distinct from topic detection.
Berninger, Ms Vera +2 more
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Journal of Mathematics, 2022 Aiming at the problems of poor classification effect, low accuracy, and long time in the current automatic classification methods of music genres, an automatic classification method of music genres based on deep belief network and sparse representation ...
Lina Pan
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Inaccurate Prediction or Genre Evolution? Rethinking Genre Classification [PDF]
, 2022 The existing MIR research on genre classification primarily focuses on how to classify a song into the "correct" genre while downplaying the fact that genres mutate over time and in response to social change in terms of their musical properties. Songs claiming the same genre can sound very different if they are released years apart, and genres may ...
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Entropy, 2020 A complex network as an abstraction of a language system has attracted much attention during the last decade. Linguistic typological research using quantitative measures is a current research topic based on the complex network approach.
Aldo Ramirez-Arellano
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Examining Variations of Prominent Features in Genre Classification. [PDF]
, 2007 This paper investigates the correlation between features of three types (visual, stylistic and topical types) and genre classes. The majority of previous studies in automated genre classification have created models based on an amalgamated ...
Kim, Dr Yunhyong, Ross, Seamus
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Beat histogram features from NMF-based novelty functions for music classification [PDF]
, 2015 In this paper we present novel rhythm features derived from drum tracks extracted from polyphonic music and evaluate them in a genre classification task. Musical excerpts are analyzed using an optimized, partially fixed Non-Negative Matrix Factorization (
Lerch, Alexander +2 more
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Character networks and book genre classification [PDF]
International Journal of Modern Physics C, 2019 We compared the social character networks of biographical, legendary and fictional texts in search for marks of genre differentiation. We examined the degree distribution of character appearance and found a power-law-like distribution that does not depend on the literary genre. We also analyzed local and global complex network measures, in particular,
Adriano J. Holanda +4 more
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Searching for Ground Truth: a stepping stone in automating genre classification [PDF]
, 2007 This paper examines genre classification of documents and its role in enabling the effective automated management of digital documents by digital libraries and other repositories.
A. Finn +9 more
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Вестник музыкальной науки, 2016 В статье поднимается проблема жанровой классификации якутского музыкального фольклора в связи с созданием Каталога архивных аудио- и видеоматериалов, собранных этномузыковедом и полевиком-исследователем Э. Е. Алексеевым в 1950-1990-х годах.
Татаринова, Александра Дмитриевна
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