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Published in 2017 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-017-0464-5
Abstract: The aim of this article is to investigate whether separating music tracks at the pre-processing phase and extending feature vector by parameters related to the specific musical instruments that are characteristic for the given musical…
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Keywords:
genre;
music genre;
automatic music;
genre classification ... See more keywords
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Published in 2017 at "Journal of Psychology in Africa"
DOI: 10.1080/14330237.2016.1268285
Abstract: This study aimed to elicit stereotypes about personality characteristics of young adults residing in South Africa, based solely on music genres. Participants were 941 undergraduate students at a South African university. They responded to a…
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Keywords:
genre preferences;
music genre;
south african;
personality ... See more keywords
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Published in 2017 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.4988170
Abstract: The aim of the study is to conduct subjective tests on audio excerpt assignment to music genre and to carry out automatic classification of musical genres with the use of decision algorithms. First, the musicology…
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Keywords:
genre;
classification musical;
music genre;
music ... See more keywords
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Published in 2022 at "International Journal of Music Education"
DOI: 10.1177/02557614221092417
Abstract: Music preferences have been shown to be determined by a diversity of factors such as cognitive, emotional, cultural, or experiential. Having studied music is also a factor that has been considered from a musicology standpoint…
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Keywords:
music genre;
music;
genre preferences;
cultural capital ... See more keywords
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Published in 2019 at "Psychology of Music"
DOI: 10.1177/0305735618755886
Abstract: This study investigated whether emotional responses to a music genre could be predicted by stereotypes of the culture with which the music genre is associated. A two-part study was conducted. Participants listened to music samples…
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Keywords:
emotional responses;
music genre;
responses music;
music ... See more keywords
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Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2022.843427
Abstract: In order to study the application of the deep learning (DL) method in music genre recognition, this study introduces the music feature extraction method and the deep belief network (DBN) in DL and proposes the…
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Keywords:
recognition;
music;
music genre;
hidden layer ... See more keywords