Toward sound-based synthesis: The far-field case

Research output: Contribution to journalConference articlepeer-review


We consider the problem of synthesizing the sound at any desired position and time from the recording of a set of microphones. Similar to the image-based rendering approach for vision, we propose a sound-based synthesis approach for sound. In this approach, audio signals at new positions are interpolated directly from the recorded signals of nearby microphones. The key underlying problems for sound-based synthesis are sampling and reconstruction of the sound field. We provide a spectral analysis of the sound field under the far-field assumption. Based on this analysis, we derive the minimum sampling and optimal reconstruction for several common settings.

Original languageEnglish (US)
Pages (from-to)II601-II604
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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