Direction of arrival estimation in highly reverberant environments using soft time-frequency mask

Vladimir Tourbabin, Jacob Donley, Boaz Rafaely, Ravish Mehra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A recent approach to improving the robustness of sound localization in reverberant environments is based on pre-selection of time- frequency pixels that are dominated by direct sound. This approach is equivalent to applying a binary time-frequency mask prior to the localization stage. Although the binary mask approach was shown to be effective, it may not exploit the information available in the captured signal to its full extent. In an attempt to overcome this limitation, it is hereby proposed to employ a soft mask instead of the binary mask. The proposed weighting scheme is based directly on a metric of the direct-to-reverberant sound ratio in each individual time-frequency pixel. Evaluation using simulated reverberant speech recordings indicates substantial improvement in the localization performance when using the proposed soft mask weighting.

Original languageAmerican English
Title of host publication2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019
Pages383-387
Number of pages5
ISBN (Electronic)9781728111230
DOIs
StatePublished - 1 Oct 2019
Externally publishedYes
Event2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019 - New Paltz, United States
Duration: 20 Oct 201923 Oct 2019

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume2019-October

Conference

Conference2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019
Country/TerritoryUnited States
CityNew Paltz
Period20/10/1923/10/19

Keywords

  • Direction of arrival estimation
  • Microphone-array processing
  • Reverberation

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications

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