Perceptsynth: mapping perceptual musical features to sound synthesis parameters

Author

Groux, Sylvain Le ; Verschure, Paul FMJ

Author_Institution

Lab. for SyntheticPerceptive, Emotive & Cognitive Syst., Univ. Pompeu Fabra, Barcelona

fYear

2008

fDate

March 31 2008-April 4 2008

Firstpage

125

Lastpage

128

Abstract

This paper presents a new system that allows for intuitive control of an additive sound synthesis model from perceptually relevant high-level sonic features. We suggest a general framework for the extraction, abstraction, reproduction and transformation of timbral characteristics of a sound analyzed from recordings. We propose a method to train, tune and evaluate our system in an automatic, consistent and reproducible fashion, and show that this system yields various original audio and musical applications.

Keywords

acoustic signal processing; learning (artificial intelligence); musical acoustics; signal synthesis; additive sound synthesis model; intuitive control; machine learning approach; perceptsynth method; perceptual musical feature mapping; sound generation; timbral characteristics; training method; Additives; Control system synthesis; Feature extraction; Frequency; Machine learning; Matrix decomposition; Network synthesis; Principal component analysis; Signal synthesis; Timbre; Feature Extraction; SVM; Sound Synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on

Conference_Location

Las Vegas, NV

ISSN

1520-6149

Print_ISBN

978-1-4244-1483-3

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2008.4517562

Filename

4517562