DocumentCode :
3240078
Title :
Adaptive room acoustic response simulation: a virtual 3D application
Author :
Costantini, Giovanni ; Casali, Daniele ; Uncini, Aurelio
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
fYear :
2003
fDate :
17-19 Sept. 2003
Firstpage :
667
Lastpage :
676
Abstract :
In this paper we propose a method to simulate a 3D acoustical environment in which sound sources are positioned in well defined sides. Our method is real-time applications oriented, due to the low computational cost of the implemented operations. The spatial position that the human brain assigns to a sound is influenced mainly by the differences between the sound signals that reach the listener´s ears, related to the sound source angulation with respect to the listener´s head. The reverberation effect, on the other side, depends on the type of environment. All this elements have to be simulated in order to give the illusion that a sound comes from a particular position in a particular environment. To obtain this result, we perform a suitable sound processing, that can be separated in two main tasks: reverberation and spatialization. The first one is mainly related to the environment itself: it depends on the shape of the environment and on the absorption coefficients of the walls. This is the most computational intensive component, if we want to reproduce it accurately, so we approximate it by an adaptive IIR filter. By the spatialization, the listener hears the sound as coming from a particular direction. This task, carried out by using the head related transfer functions (HRTFs), has to be applied to every sound source differently.
Keywords :
IIR filters; adaptive filters; audio signal processing; reverberation; transfer functions; virtual reality; 3D acoustical environment; absorption coefficients; adaptive IIR filter; adaptive room acoustic response simulation; head related transfer functions; reverberation effect; sound processing; sound source angulation; spatial position; virtual 3D application; Absorption; Acoustic applications; Brain modeling; Computational efficiency; Computational modeling; Ear; Humans; IIR filters; Reverberation; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing, 2003. NNSP'03. 2003 IEEE 13th Workshop on
ISSN :
1089-3555
Print_ISBN :
0-7803-8177-7
Type :
conf
DOI :
10.1109/NNSP.2003.1318066
Filename :
1318066
Link To Document :
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