Zobrazeno 1 - 10
of 848
pro vyhledávání: '"music genre"'
Autor:
Emy S. Van der Valk Bouman, Antonia S. Becker, Julian Schaap, Michaël Berghman, Joost Oude Groeniger, Merle Van Groeningen, Femke Vandenberg, Roos Geensen, Johannes Jeekel, Markus Klimek
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Music is a promising (adjunctive) treatment for both acute and chronic pain, reducing the need for pharmacological analgesics and their side effects. Yet, little is known about the effect of different types of music. Hence, we investigated t
Externí odkaz:
https://doaj.org/article/0b06a0af1c2b4c889b018f74935dddb3
Autor:
Amin Tohari
Publikováno v:
El Harakah, Vol 26, Iss 1, Pp 47-73 (2024)
Derived from the dimension of locality, terebang merges Sundanese ethnic and Islamic elements into a distinctive music genre. This article explores the forms of the Sundanese Islamic musical genre and how this genre is utilized at Islamic ritual even
Externí odkaz:
https://doaj.org/article/40912a70dbbe4f4fa04b689a9bc6ff32
Autor:
Asuman Yılmaz Filiz, Aysun Yilmaz
Publikováno v:
Online Journal of Music Sciences, Vol 9, Iss 1, Pp 196-221 (2024)
The concept of identity is related to the way of identifying and promoting oneself, both on an individual and collective level. Clothing and music as visual and auditory symbols are recognised as important elements of identification and identificatio
Externí odkaz:
https://doaj.org/article/7ee71e3908104d9fab0ce39e3d7ce45c
Autor:
Aigul Mimenbayeva, Gulmira Bekmagambetova, Gulzhan Muratova, Akgul Naizagarayeva, Tleugaisha Ospanova, Assem Konyrkhanova
Publikováno v:
Scientific Journal of Astana IT University, Pp 83-94 (2024)
This article analysis a Kazakh Music dataset, which consists of 800 audio tracks equally distributed across 5 different genres. The purpose of this research is to classify music genres by using machine learning algorithms Decision Tree Classifier and
Externí odkaz:
https://doaj.org/article/e3fb45a3964342cd807d20bcbffa5c97
Autor:
Liu Lili
Publikováno v:
Open Computer Science, Vol 14, Iss 1, Pp pp. 63-71 (2024)
To improve the classification effect of music genres in the digital music era, the article employs deep-learning algorithms to improve the performance of the classification of music genres. An auxiliary (estimated) model is constructed to estimate th
Externí odkaz:
https://doaj.org/article/686a5904ae26403eb6bfd9683be5cfc9
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34067- (2024)
In this paper, a new approach has been introduced for classifying the music genres. The proposed approach involves transforming an audio signal into a unified representation known as a sound spectrum, from which texture features have been extracted u
Externí odkaz:
https://doaj.org/article/2ab15a7f38af445aa92b1ab8c304215c
Autor:
Diego M. Jimenez-Bravo, Alvaro Lozano Murciego, Juan Jose Navarro-Caceres, Maria Navarro-Caceres, Treasa Harkin
Publikováno v:
IEEE Access, Vol 12, Pp 92536-92548 (2024)
Irish traditional music contains a variety of features that help to understand the cultural idiosyncrasies of Irish people. One of the most prominent aspects is genre, which provides information on the musical structure, the composition’s essence a
Externí odkaz:
https://doaj.org/article/979a1dc53b0446ff9be61bec5f5e923a
Publikováno v:
IEEE Access, Vol 12, Pp 245-257 (2024)
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
Externí odkaz:
https://doaj.org/article/2ac6d598a6e0444d8aaacef41bd16ebe
Publikováno v:
Inovacije u Nastavi, Vol 36, Iss 4, Pp 127-146 (2023)
Encouraged by the facts from a segment of an earlier research of music examples according to genre in Music Education textbooks, the authors of the paper decided to analyse the content of the latest editions of textbooks published by different publis
Externí odkaz:
https://doaj.org/article/c3a7f6b6def8460194455d8154497a4b
Publikováno v:
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 7, Iss 5, Pp 1205-1210 (2023)
Playing music through a digital platform that has a large database of songs requires automated classification of music genres, highlighting the need to develop a model for music genre classification that is more efficient and accurate. This study eva
Externí odkaz:
https://doaj.org/article/0f36962e6e5c4ff3875c821c4ab08023