利用视频记录中的二维和三维姿势估计对印度斯坦拉格和歌手进行分类

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of New Music Research Pub Date : 2024-04-03 DOI:10.1080/09298215.2024.2331788

Martin Clayton, Jin Li, Alison Clarke, Marion Weinzierl

引用次数: 0

摘要

通过对视频录像进行姿势估计，我们应用了一种动作识别机器学习算法，演示了如何利用动作信息对歌手和拉格（旋律）进行分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Hindustani raga and singer classification using 2D and 3D pose estimation from video recordings

Using pose estimation with video recordings, we apply an action recognition machine learning algorithm to demonstrate the use of the movement information to classify singers and the ragas (melodic ...

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来源期刊

Journal of New Music Research 工程技术-计算机：跨学科应用

CiteScore

3.20

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of New Music Research (JNMR) publishes material which increases our understanding of music and musical processes by systematic, scientific and technological means. Research published in the journal is innovative, empirically grounded and often, but not exclusively, uses quantitative methods. Articles are both musically relevant and scientifically rigorous, giving full technical details. No bounds are placed on the music or musical behaviours at issue: popular music, music of diverse cultures and the canon of western classical music are all within the Journal’s scope. Articles deal with theory, analysis, composition, performance, uses of music, instruments and other music technologies. The Journal was founded in 1972 with the original title Interface to reflect its interdisciplinary nature, drawing on musicology (including music theory), computer science, psychology, acoustics, philosophy, and other disciplines.