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ZENODO
Dataset . 2020
Data sources: Datacite
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ZENODO
Dataset . 2020
Data sources: ZENODO
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ZENODO
Dataset . 2020
Data sources: Datacite
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Dataset . 2020
Data sources: ZENODO
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Dataset . 2020
Data sources: Datacite
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SECL-UMONS DATABASE FOR SOUND EVENT CLASSIFICATION AND LOCALIZATION

Research datakeyboard_double_arrow_right Dataset 31 Jan 2020Publisher:Zenodo
Authors: Brousmiche Mathilde; Dupont Stéphane; Rouat Jean;

doi: 10.5281/zenodo.3932885 , 10.5281/zenodo.3632377 , 10.5281/zenodo.3632376

SECL-UMONS DATABASE FOR SOUND EVENT CLASSIFICATION AND LOCALIZATION

Abstract

SECL-UMons is a dataset for sound event classification and localization in the context of office environments. The multichannel dataset is composed of 11 event classes recorded at several realistic positions in two different rooms. The dataset comprises two types of sequences according to the number of events in the sequence. 2662 unilabel sequences and 2724 multilabel sequences are recorded corresponding to a total of 5.24 hours.

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Keywords

Sound Event Classification, Sound Source Localization, Dataset

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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