Efficient method for multiple compressed audio streams spatialization

  • Authors:
  • Abdellatif Benjelloun Touimi;Marc Emerit;Jean-Marie Pernaux

  • Affiliations:
  • France Telecom R&D Division, Lannion, France;France Telecom R&D Division, Lannion, France;ASSYSTEM Services, Paris, France

  • Venue:
  • Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
  • Year:
  • 2004

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Abstract

This paper deals with the spatialization of multiple compressed audio streams. A new approach is proposed based on the combination of subband-domain filtering methods with linear decomposition methods of HRTFs filters, and more generally the filters used by sound spatialization techniques (binaural, transaural, ambisonic, etc). Such a combination allows both computation complexity reduction and memory size saving for sound spatialization systems of multiple compressed audio signals. These advantages are very useful for any implementation on limited capabilities terminals (computation power and memory size) which is the case of mobile and portable devices.