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DOA ESTIMATION WITH HISTOGRAM ANALYSIS OF SPATIALLY CONSTRAINED ACTIVE INTENSITY VECTORS

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


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  <identifier identifierType="URL">https://zenodo.org/record/836629</identifier>
  <creators>
    <creator>
      <creatorName>Symeon Delikaris-Manias</creatorName>
      <affiliation>Aalto University, Department of Signal Processing and Acoustics, Espoo, FI-00076, Finland</affiliation>
    </creator>
    <creator>
      <creatorName>Despoina Pavlidi</creatorName>
      <affiliation>FORTH-ICS, Heraklion, Crete, GR-70013, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Athanasios Mouchtaris</creatorName>
      <affiliation>FORTH-ICS, Heraklion, Crete, GR-70013, Greece</affiliation>
    </creator>
    <creator>
      <creatorName>Ville Pulkki</creatorName>
      <affiliation>Aalto University, Department of Signal Processing and Acoustics, Espoo, FI-00076, Finland</affiliation>
    </creator>
  </creators>
  <titles>
    <title>DOA ESTIMATION WITH HISTOGRAM ANALYSIS OF SPATIALLY CONSTRAINED ACTIVE INTENSITY VECTORS</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2017</publicationYear>
  <subjects>
    <subject>direction of arrival, higher order active intensity vector, multiple sound sources, microphone arrays</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2017-03-09</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/836629</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/ICASSP.2017.7952211</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&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;</description>
    <description descriptionType="Other">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</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/644283/">644283</awardNumber>
      <awardTitle>Hands-free Voice-enabled Interface to Web Applications for Smart Home Environments</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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