Performance Following: Real-Time Prediction of Musical Sequences Without a Score

被引：1

作者：

Stark, Adam M. ^{[1
]}

Plumbley, Mark D. ^{[1
]}

机构：

[1] Queen Mary Univ London, Dept Elect Engn & Comp Sci, London E1 4NS, England

来源：

IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING | 2012年 / 20卷 / 01期

基金：

英国工程与自然科学研究理事会;

关键词：

Beat-synchronous sequences; online algorithms; performance following; SEARCH; AUDIO;

D O I：

10.1109/TASL.2011.2159593

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper introduces a technique for predicting harmonic sequences in a musical performance for which no score is available, using real-time audio signals. Recent short-term information is aligned with longer term information, contextualizing the present within the past, allowing predictions about the future of the performance to be made. Using a mid-level representation in the form of beat-synchronous harmonic sequences, we reduce the size of the information needed to represent the performance. This allows the implementation of real-time performance following in live performance situations. We conduct an objective evaluation on a database of rock, pop, and folk music. Our results show that we are able to predict a large majority of repeated harmonic content with no prior knowledge in the form of a score.

引用

页码：190 / 199

页数：10

共 51 条

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