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