编辑:首届人工智能音乐创意大会JCMS特刊

Q2 Arts and Humanities Journal of Creative Music Systems Pub Date : 2022-08-30 DOI:10.5920/jcms.1246
Cale Plut, Philippe Pasquier, Anna Jordanous
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引用次数: 0

摘要

人工智能音乐创意国际会议(AIMC, https://aimusiccreativity.org/)是由音乐元创造国际研讨会MUME (https://musicalmetacreation.org/)和音乐创意计算机模拟系列会议(CSMC, https://csmc2018.wordpress.com/)合并而成。本期特刊收集了会议第一版的论文选集以及两个主题演讲的纸质版本。这个特刊包含六篇论文,应用新的方法来产生和分类音乐。这些精选的论文涵盖了作曲、节奏生成、编曲等几个生成音乐任务,以及一些速度和类型识别的机器听力任务,介绍了音乐人工智能的最新技术。主题演讲嘉宾爱丽丝·埃尔德里奇(Alice Eldridge)和约翰·桑德伯格(Johan Sundberg)在音乐应用中使用的合成分析(analysis-by-synthesis),开篇是一首关于计算机音乐的颂歌。
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Editorial: JCMS Special Issue of the first Conference on AI Music Creativity
The International conference on AI Music Creativity (AIMC, https://aimusiccreativity.org/) is the merger of the international workshop on Musical Metacreation MUME (https://musicalmetacreation.org/) and the conference series on Computer Simulation of Music Creativity (CSMC, https://csmc2018.wordpress.com/). This special issue gathers selected papers from the first edition of the conference along with paper versions of two of its keynotes.This special issue contains six papers that apply novel approaches to the generation and classification of music. Covering several generative musical tasks such as composition, rhythm generation, orchestration, as well as some machine listening task of tempo and genre recognition, these selected papers present state of the art techniques in Music AI. The issue opens up with an ode on computer Musicking, by keynote speaker Alice Eldridge, and Johan Sundberg's use of analysis-by-synthesis for musical applications.
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来源期刊
Journal of Creative Music Systems
Journal of Creative Music Systems Arts and Humanities-Music
CiteScore
1.20
自引率
0.00%
发文量
8
审稿时长
12 weeks
期刊最新文献
Title Pending 1311 Oktoechos Classification and Generation of Liturgical Music using Deep Learning Frameworks Editorial: JCMS Special Issue of the first Conference on AI Music Creativity Contemporary music genre rhythm generation with machine learning Deep Music Information Dynamics Novel Framework for Reduced Neural-Network Music Representation with Applications to Midi and Audio Analysis and Improvisation
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