Phase and level difference fusion for robust multichannel source separation

Johannes Traa, Minje Kim, Paris Smaragdis

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

Abstract

Inter-channel phase (IPD) and level (ILD) differences are common features in multichannel source separation algorithms like DUET and MENUET. However, their utility depends strongly on the configuration of the array and what microphone pairs are used to calculate them. IPDs are most useful when extracted from microphones that are close together as this avoids spatial aliasing. In contrast, ILD clusters are only well separated for widely spaced microphones. We investigate this trade-off between IPD and ILD features and propose a method to best combine them for multichannel source separation. Experimental results demonstrate the utility of this approach.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6687-6691
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - 2014
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Publication series

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

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
CountryItaly
CityFlorence
Period5/4/145/9/14

Keywords

  • RANSAC
  • circular statistics
  • source separation

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Traa, J., Kim, M., & Smaragdis, P. (2014). Phase and level difference fusion for robust multichannel source separation. In 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (pp. 6687-6691). [6854894] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854894