Zobrazeno 1 - 10
of 960
pro vyhledávání: '"genre classification"'
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:
Jiahong Shen, Guangrun Xiao
Publikováno v:
IEEE Access, Vol 12, Pp 185482-185491 (2024)
Music genre classification (MGC) has gained significant attention due to its broad applications in music information retrieval. Traditional MGC approaches often rely on hand-crafted features or deep learning models that may overlook the continuous an
Externí odkaz:
https://doaj.org/article/18b0327c0c4346e8babff2334e1b47ea
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 457-467 (2024)
Classifying music genres has been a significant problem in the decade of seamless music streaming platforms and countless content creations. An accurate music genre classification is a fundamental task with applications in music recommendation, conte
Externí odkaz:
https://doaj.org/article/3d1db445f02f48259f4db7796e9e251e
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:
Sensors, Vol 24, Iss 21, p 7021 (2024)
In the era of digital music proliferation, music genre classification has become a crucial task in music information retrieval. This paper proposes a novel channel-aware convolutional neural network (ECAS-CNN) designed to enhance the efficiency and a
Externí odkaz:
https://doaj.org/article/6c2e1ebd8d094c158c4a6aa8f9b6ff5b
Autor:
Ben Baker, Tony Liu, Jordan Matelsky, Felipe Parodi, Brett Mensh, John W. Krakauer, Konrad Kording
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Dance plays a vital role in human societies across time and culture, with different communities having invented different systems for artistic expression through movement (genres). Differences between genres can be described by experts in words and m
Externí odkaz:
https://doaj.org/article/136d33914be84ed89069f39ff99321e5
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
Autor:
Xu Wenyi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Music categorization as a key component of music information retrieval is an important means of dealing with massive amounts of music information. Based on this, this paper proposes the use of deep learning algorithms to automatically identify music
Externí odkaz:
https://doaj.org/article/17628c2434f14f23806799b9e78f8edb