Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1192387#aggregation> ?p ?o. }
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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2010".
- aggregation format "application/pdf".
- aggregation hasFormat 1192387.bibtex.
- aggregation hasFormat 1192387.csv.
- aggregation hasFormat 1192387.dc.
- aggregation hasFormat 1192387.didl.
- aggregation hasFormat 1192387.doc.
- aggregation hasFormat 1192387.json.
- aggregation hasFormat 1192387.mets.
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- aggregation hasFormat 1192387.txt.
- aggregation hasFormat 1192387.xls.
- aggregation hasFormat 1192387.yaml.
- aggregation isPartOf urn:isbn:9781424469178.
- aggregation isPartOf urn:isbn:9781424481262.
- aggregation isPartOf urn:issn:1098-7576.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Context-dependent environmental sound monitoring using SOM coupled with LEGION".
- aggregation abstract "Environmental sound measurement networks are increasingly applied for monitoring noise pollution in an urban context. Intelligent measurement nodes offer the opportunity to perform advanced analysis of environmental sound, but trade-offs between cost and functionality still have to be made. When using a tiered architecture, local nodes with limited computing capabilities can be used to detect sound events of potential interest, which are then further analyzed by more powerful nodes. This paper presents a human-mimicking model for detecting rare and conspicuous sound events. Features encoding spectro-temporal irregularities are extracted from the sound, and a Self-Organizing Map (SOM) is used to identify co-occurring features, which most likely belong to a single sound object. Extensive training allows this map to be tuned to the typical sounds that are heard at the microphone location. A Locally Excitatory Globally Inhibitory Oscillator Network (LEGION) is used to group units of the SOM in order to construct distinct sound objects.".
- aggregation authorList BK216815.
- aggregation endPage "1420".
- aggregation startPage "1413".
- aggregation aggregates 1192430.
- aggregation aggregates 1192434.
- aggregation isDescribedBy 1192387.
- aggregation similarTo IJCNN.2010.5596977.
- aggregation similarTo LU-1192387.