Acoustic source localization and signal separation based on a hybrid circular array

Po Chen Wu*, Mingsian R. Bai, Chun-May Yang

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

Abstract

A circular microphone arrays (CMA) with a vertical logarithmic-spacing linear array (LLA) extension is proposed in this paper for localizing sources and separating signals emanated from those sources. A one-stage approach and a two-stage approach are suggested. In the one-stage method, localization and separation are accomplished at one shot. An underdetermined system is formulated and solved by using compressive sensing (CS) techniques such as convex optimization, the focal underdetermined system solver (FOCUSS). In the two-stage method, however, localization is first carried out by minimum power distortionless response (MPDR) algorithm, followed by separation using Tikhonov regularization (TIKR) on the basis of the estimated source bearings. To validate the proposed hybrid array and the localization and separation methods, a three-dimensionally printed circular array comprised of a 24-element CMA and an 8-element LLA is constructed. Perceptual evaluation of speech quality (PESQ) test and a subjective listening test are also undertaken.

Original languageEnglish
StatePublished - 1 Jan 2017
Event46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 - Hong Kong, China
Duration: 27 Aug 201730 Aug 2017

Conference

Conference46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017
CountryChina
CityHong Kong
Period27/08/1730/08/17

Keywords

  • Hybrid array
  • Inverse solution
  • Signal separation
  • Source localization

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