Constrained estimation of percussive sound excitations

Alex Fink, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
Pages201-204
Number of pages4
DOIs
StatePublished - 2011
Event2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011 - New Paltz, NY, United States
Duration: Oct 16 2011Oct 19 2011

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Other

Other2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2011
Country/TerritoryUnited States
CityNew Paltz, NY
Period10/16/1110/19/11

Keywords

  • Acoustic signal processing
  • Deconvolution
  • Estimation
  • Signal analysis
  • Signal reconstruction

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Constrained estimation of percussive sound excitations'. Together they form a unique fingerprint.

Cite this