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研讨会简介

Introduction to the Workshop
课程网址: http://videolectures.net/mbc07_hardoon_int/  
主讲教师: David R. Hardoon
开课单位: 伦敦大学学院
开课时间: 2008-02-01
课程语种: 英语
中文简介:
直到最近,音乐表现的问题主要集中在音乐信息和结构的象征符号以及音乐表现的表现上。由于EEG和fMRI等脑扫描技术的不断进步,我们研究大脑中的音乐体验如何成为一个丰富的研究领域。  研讨会的这一天通过主要基于机器学习和信号处理的计算建模方法解决了大脑中音乐体验的表现问题。  本次研讨会讨论的首要问题是,我们是否可以通过将传统形式的音乐表现形式(乐谱,音频,表演等)与脑部扫描技术相结合,设计出有效的方法来研究和模拟大脑中音乐体验的表现形式。  该问题与认知音乐行为的成功建模,交互式音乐系统的设计,当代构图中的通知技术,提供增强音乐表现的方法,甚至帮助音乐分析以建议听音乐的方式特别相关。
课程简介: Until recently, the issue of musical representation had focused primarily on symbolic notation of musical information and structure, and on the representation of musical performance. Research on how we represent musical experience in the brain is emerging as a rich area of investigation thanks to ongoing advances in brain-scanning technology such as EEG and fMRI. This day of the workshop addresses the problem of representation of musical experience in the brain from a computational modelling approach chiefly based on machine learning and signal processing. The overarching question addressed by this workshop is whether we can devise efficient methods to study and model the representation of musical experience in the brain by combining traditional forms of musical representation (musical notation, audio, performance, etc.) with brain scanning technology. This problem is of particular relevance for the successful modelling of cognitive music behaviour, design of interactive music systems, informing techniques in contemporary composition, providing methods to enhance music performance, and even helping music analysis in suggesting ways of listening to music.
关 键 词: 象征符号; 计算建模方法; 音乐体验; 交互式音乐系统
课程来源: 视频讲座网
最后编审: 2019-05-16:cjy
阅读次数: 38