Conference paper Open Access

DOA ESTIMATION WITH HISTOGRAM ANALYSIS OF SPATIALLY CONSTRAINED ACTIVE INTENSITY VECTORS

Symeon Delikaris-Manias; Despoina Pavlidi; Athanasios Mouchtaris; Ville Pulkki


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        <foaf:name>Ville Pulkki</foaf:name>
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    <dct:title>DOA ESTIMATION WITH HISTOGRAM ANALYSIS OF SPATIALLY CONSTRAINED ACTIVE INTENSITY VECTORS</dct:title>
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    <dcat:keyword>direction of arrival, higher order active intensity vector, multiple sound sources, microphone arrays</dcat:keyword>
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    <dct:description>&lt;p&gt;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-channel microphone array, fitted on a rigid mobile-like device, in reverberant conditions and under dif- ferent signal-to-noise ratios. &lt;/p&gt;</dct:description>
    <dct:description xml:lang="">This research has been partly funded by the Aalto ELEC Doctoral School and the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska- Curie grant agreement No 644283</dct:description>
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    <dct:title>Hands-free Voice-enabled Interface to Web Applications for Smart Home Environments</dct:title>
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