1. Effective acoustic parameters for automatic classification of performed and synthesized Guzheng music
- Author
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Huiwen Xue, Chenxin Sun, Mingcheng Tang, Chenrui Hu, Zhengqing Yuan, Min Huang, and Zhongzhe Xiao
- Subjects
Guzheng ,Acoustic feature analysis ,Instrument recognition ,Synthesizer ,Acoustics. Sound ,QC221-246 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Abstract This study focuses on exploring the acoustic differences between synthesized Guzheng pieces and real Guzheng performances, with the aim of improving the quality of synthesized Guzheng music. A dataset with consideration of generalizability with multiple sources and genres is constructed as the basis of analysis. Classification accuracy up to 93.30% with a single feature put forward the fact that although the synthesized Guzheng pieces in subjective perception evaluation are recognized by human listeners, there is a very significant difference to the performed Guzheng music. With features compensating to each other, a combination of only three features can achieve a nearly perfect classification accuracy of 99.73%, with the essential two features related to spectral flux and an auxiliary feature related to MFCC. The conclusion of this work points out a potential future improvement direction in Guzheng synthesized algorithms with spectral flux properties.
- Published
- 2023
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