DocumentCode :
2358201
Title :
Constrained estimation of percussive sound excitations
Author :
Fink, Alex ; Spanias, Andreas
Author_Institution :
SenSIP Center, Arizona State Univ., Tempe, AZ, USA
fYear :
2011
fDate :
16-19 Oct. 2011
Firstpage :
201
Lastpage :
204
Abstract :
Source-filter models for sound resynthesis are useful in applications including compression of audio data and restoration of noisy recordings. Driven by actual recordings of sounding objects, resynthesis methods require system identification and excitation source estimation. Such methods may be entirely data-driven, but they may also incorporate a priori knowledge of systems or excitations. This paper proposes a method of estimating the excitation of percussively struck resonant objects from sound recordings, constraining the excitation to be time-limited. The constraint serves to use prior knowledge of the short duration of the excitations of percussive sounds, improving estimation when compared to other methods of unconstrained estimation and inverse filtering. Evaluated examples and simulations demonstrate the proposed method´s robustness to noise and applicability to the analysis and resynthesis of acoustic recordings.
Keywords :
acoustic signal processing; filtering theory; signal reconstruction; acoustic recordings; audio data compression; excitation source estimation; inverse filtering; noisy recordings; percussive sound excitations; sound recordings; sound resynthesis; source-filter models; unconstrained estimation; Acoustics; Biological system modeling; Estimation; Noise measurement; Signal to noise ratio; Acoustic signal processing; Deconvolution; Estimation; Signal analysis; Signal reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011 IEEE Workshop on
Conference_Location :
New Paltz, NY
ISSN :
1931-1168
Print_ISBN :
978-1-4577-0692-9
Electronic_ISBN :
1931-1168
Type :
conf
DOI :
10.1109/ASPAA.2011.6082338
Filename :
6082338
Link To Document :
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