On the Use of Memory for Detecting Musical Notes in Polyphonic Piano Music

被引：1

作者：

Costantini, Giovanni ^{[1
,2
]}

Todisco, Massimiliano ^{[1
,2
]}

Perfetti, Renzo ^{[3
]}

机构：

[1] Univ Roma Tor Vergata, Dept Elect Engn, Rome, Italy

[2] Inst Acoust OM Corbino, Rome, Italy

[3] Univ Perugia, Elect & Informat Engn Dept, Perugia, Italy

来源：

2009 EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN, VOLS 1 AND 2 | 2009年

关键词：

D O I：

10.1109/ECCTD.2009.5275106

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Music transcription consists in transforming the musical content of audio data into a symbolic representation. The objective of this study is to investigate a transcription system for polyphonic piano. The proposed method focuses on temporal musical structures, note events and their main characteristics: the attack instant and the pitch. Onset detection exploits a time-frequency representation of the audio signal. Note classification is based on constant Q transform (CQT) and support vector machines (SVMs). Finally, to validate our method, we present a collection of experiments using a wide number of musical pieces of heterogeneous style.

引用

页码：806 / +

页数：2

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