Robust interchannel phase difference modeling with wrapped regression splines

Johannes Traa, Paris Smaragdis

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

Abstract

Inter-channel phase differences (IPD) are commonly used as features in microphone array-based source separation and localization algorithms. However, under real-world conditions, we may observe significant deviations from the assumed anechoic, linear model. Non-linearities arise from spatial aliasing, reverberation, and poor array calibration. In this work, we view the features as comprising a circular-linear dataset and model them with a wrapped regression spline. Experimental results demonstrate that this approach leads to more robust speech denoising than a linear model.

Original languageEnglish (US)
Title of host publication2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
PublisherIEEE Computer Society
Pages69-72
Number of pages4
ISBN (Print)9781479914814
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014 - A Coruna, Spain
Duration: Jun 22 2014Jun 25 2014

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Other

Other2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, SAM 2014
Country/TerritorySpain
CityA Coruna
Period6/22/146/25/14

Keywords

  • Phase difference
  • regression spline
  • source separation
  • wrapped Gaussian

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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