An individually tunable perfect reconstruction filterbank for banded waveguide synthesis

Alex Fink, Harvey Thornburg, Andreas Spanias

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

2 Scopus citations

Abstract

In gaming and other multimedia applications, there is an increasing need to simulate and transform the sounds of physical interactions with real-world objects. When these sounds are based upon source recordings, this motivates the need for flexible, yet ecologically valid resyntheses. With modal analysis as a front end, banded waveguide resynthesis enables flexible modifications to dynamic spectral content and varied forms of interaction. Unfortunately, traditional banded waveguide models using biquad filters can have problems with undesired transient behavior. To this end, we introduce a new perfect reconstruction filterbank that allows for each filter to be individually tuned to a desired mode frequency and precisely cancel the other selected frequencies. Comparisons with traditional biquad models amply demonstrate the improved transient response and overall fidelity of our model. In addition, examples of resynthesis, transformation, and alternative interaction with real-world recordings are given.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Pages37-40
Number of pages4
DOIs
StatePublished - Nov 8 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
CountryUnited States
CityDallas, TX
Period3/14/103/19/10

Keywords

  • Digital filters
  • Modeling
  • Signal reconstruction
  • Signal synthesis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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