publication . Conference object . 2017

doa estimation with histogram analysis of spatially constrained active intensity vectors

Symeon Delikaris-Manias; Despoina Pavlidi; Athanasios Mouchtaris; Ville Pulkki;
Open Access
  • Published: 09 Mar 2017
  • Publisher: IEEE
Abstract
The active intensity vector (AIV) is a common descriptor of the sound field. In microphone array processing, AIV is commonly approximated with beamforming operations and uti- lized as a direction of arrival (DOA) estimator. However, in its original form, it provides inaccurate estimates in sound field conditions where coherent sound sources are simultane- ously active. In this work we utilize a higher order intensity- based DOA estimator on spatially-constrained regions (SCR) to overcome such limitations. We then apply 1-dimensional (1D) histogram processing on the noisy estimates for mul- tiple DOA estimation. The performance of the estimator is shown with a 7-...
Subjects
free text keywords: direction of arrival, higher order active intensity vector, multiple sound sources, microphone arrays, Direction of arrival, Mobile telephony, business.industry, business, Estimator, Beamforming, Microphone array processing, Microphone array, Pattern recognition, Artificial intelligence, Sound field, Histogram, Computer vision, Computer science, Speech recognition
Related Organizations
Funded by
EC| LISTEN
Project
LISTEN
Hands-free Voice-enabled Interface to Web Applications for Smart Home Environments
  • Funder: European Commission (EC)
  • Project Code: 644283
  • Funding stream: H2020 | MSCA-RISE
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