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Beyond Error Tolerance: Finding Thematic Similarities in Music Digital Libraries

机译:超出容错能力:在音乐数字图书馆中找到主题相似之处

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摘要

Current Music Information Retrieval (MIR) systems focus on melody based retrieval with some tolerance for user errors in the melody specification. The system described here presents a novel method for theme retrieval: A theme is described as a list of musical events, containing melody and harmony features, which must be presented in a given order and within a given time frame. The system retrieves musical phrases that fit the description. A system of this type could serve musicians and listeners who wish to discover thematically similar phrases in music digital libraries. The prototype and underlying model have been tested on midi sequences of music by W.A. Mozart and have shown good performance results.
机译:当前的音乐信息检索(MIR)系统专注于基于旋律的检索,并且对旋律规范中的用户错误有一定的容忍度。此处描述的系统提供了一种新颖的主题检索方法:主题被描述为一系列音乐事件,其中包含旋律和和声特征,必须以给定的顺序并在给定的时间范围内呈现。系统检索符合说明的音乐短语。这种系统可以为希望在音乐数字图书馆中发现主题相似的短语的音乐家和听众提供服务。莫扎特(W.A. Mozart)对音乐的midi序列进行了测试,原型和基础模型得到了良好的演奏效果。

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