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 :
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