DocumentCode
22640
Title
A Synthesis Model With Intuitive Control Capabilities for Rolling Sounds
Author
Conan, Simon ; Derrien, Olivier ; Aramaki, Mitsutoshi ; Ystad, Solvi ; Kronland-Martinet, Richard
Author_Institution
LMA, Aix-Marseille Univ., Marseille, France
Volume
22
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
1260
Lastpage
1273
Abstract
This paper presents a physically inspired source-filter model for rolling sound synthesis. The model, which is suitable for real-time implementation, is based on qualitative and quantitative observations obtained from a physics-based model described in the literature. In the first part of the paper, the physics-based model is presented, followed by a perceptual experiment, whose aim is to identify the perceptually relevant information characterizing the rolling interaction. On the basis of this experiment, we hypothesize that the particular pattern of the interaction force is responsible for the perception of a rolling object. A complete analysis-synthesis scheme of this interaction force is then provided, along with a description of the calibration of the proposed source-filter sound synthesis process. Finally, a mapping strategy for intuitive control of the proposed synthesis process (i.e. size and velocity of the rolling object and roughness of the surface) is proposed and validated by a listening test.
Keywords
audio signal processing; filtering theory; hearing; speech synthesis; complete analysis-synthesis scheme; interaction force; intuitive control; listening test; mapping strategy; perceptual experiment; physically inspired source-filter model; physics-based model; qualitative observations; quantitative observations; rolling interaction; rolling object perception; rolling sound synthesis; source-filter sound synthesis process; Analytical models; Force; Mathematical model; Rough surfaces; Solid modeling; Speech; Speech processing; Audio virtual reality; physics-based model; rolling sounds; sound analysis; sound synthesis; source-filter model;
fLanguage
English
Journal_Title
Audio, Speech, and Language Processing, IEEE/ACM Transactions on
Publisher
ieee
ISSN
2329-9290
Type
jour
DOI
10.1109/TASLP.2014.2327297
Filename
6822534
Link To Document