FEATURE-BASED EXTRACTION OF PLUCKING AND EXPRESSION STYLES OF THE ELECTRIC BASS GUITAR

被引：15

作者：

Abesser, Jakob ^{[1
]}

Lukashevich, Hanna ^{[1
]}

Schuller, Gerald ^{[1
]}

机构：

[1] Fraunhofer IDMT, Ilmenau, Germany

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

electric bass guitar; transcription; plucking style; expression style; expressive performance analysis; TRANSCRIPTION; MUSIC;

D O I：

10.1109/ICASSP.2010.5495945

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we present a feature-based approach for the classification of different playing techniques in bass guitar recordings. The applied audio features are chosen to capture typical instrument sounds induced by 10 different playing techniques. A novel database that consists of approx. 4300 isolated bass notes was assembled for the purpose of evaluation. The usage of domain-specific features in a combination of feature selection and feature space transformation techniques improved the classification accuracy by over 27% points in comparison to a state-of-the-art baseline system. Classification accuracy reached 93.25% and 95.61% for

引用

页码：2290 / 2293

页数：4

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