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DCASE 2017 Challenge setup: Tasks, datasets and baseline system

Identifieur interne : 000002 ( Main/Exploration ); précédent : 000001; suivant : 000003

DCASE 2017 Challenge setup: Tasks, datasets and baseline system

Auteurs : Annamaria Mesaros [Finlande] ; Toni Heittola [Finlande] ; Aleksandr Diment [Finlande] ; Benjamin Elizalde [États-Unis] ; Ankit Shah [États-Unis] ; Emmanuel Vincent [France] ; Bhiksha Raj [États-Unis] ; Tuomas Virtanen [Finlande]

Source :

RBID : Hal:hal-01627981

English descriptors

Abstract

DCASE 2017 Challenge consists of four tasks: acoustic scene classification , detection of rare sound events, sound event detection in real-life audio, and large-scale weakly supervised sound event detection for smart cars. This paper presents the setup of these tasks: task definition, dataset, experimental setup, and baseline system results on the development dataset. The baseline systems for all tasks rely on the same implementation using multilayer perceptron and log mel-energies, but differ in the structure of the output layer and the decision making process, as well as the evaluation of system output using task specific metrics.

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Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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</desc>
</org>
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<country>France</country>
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<settlement type="city">Nancy</settlement>
<settlement type="city">Metz</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université de Lorraine</orgName>
</affiliation>
</author>
<author>
<name sortKey="Raj, Bhiksha" sort="Raj, Bhiksha" uniqKey="Raj B" first="Bhiksha" last="Raj">Bhiksha Raj</name>
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<hal:affiliation type="laboratory" xml:id="struct-87723" status="VALID">
<orgName>Computer Science Department - Carnegie Mellon University</orgName>
<desc>
<address>
<addrLine>Computer Science Department Carnegie Mellon University Pittsburgh, PA</addrLine>
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</address>
<ref type="url">http://www.cs.cmu.edu/</ref>
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<orgName>University of Pittsburgh</orgName>
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<address>
<country key="FR"></country>
</address>
</desc>
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</hal:affiliation>
<country>États-Unis</country>
<placeName>
<settlement type="city">Pittsburgh</settlement>
<region type="state">Pennsylvanie</region>
</placeName>
<orgName type="university">Université de Pittsburgh</orgName>
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<author>
<name sortKey="Virtanen, Tuomas" sort="Virtanen, Tuomas" uniqKey="Virtanen T" first="Tuomas" last="Virtanen">Tuomas Virtanen</name>
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<orgName>Tampere University of Technology [Tampere]</orgName>
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<address>
<addrLine>Kalevantie 4, FI-33014</addrLine>
<country key="FI"></country>
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<ref type="url">http://www.tut.fi/public/</ref>
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<country>Finlande</country>
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<keywords scheme="mix" xml:lang="en">
<term> Acoustic scene classification</term>
<term> Audio tagging</term>
<term> Rare sound events</term>
<term> Sound event detection</term>
<term>Sound scene analysis</term>
<term>Weak labels</term>
</keywords>
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<front>
<div type="abstract" xml:lang="en">DCASE 2017 Challenge consists of four tasks: acoustic scene classification , detection of rare sound events, sound event detection in real-life audio, and large-scale weakly supervised sound event detection for smart cars. This paper presents the setup of these tasks: task definition, dataset, experimental setup, and baseline system results on the development dataset. The baseline systems for all tasks rely on the same implementation using multilayer perceptron and log mel-energies, but differ in the structure of the output layer and the decision making process, as well as the evaluation of system output using task specific metrics.</div>
</front>
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<country>
<li>Finlande</li>
<li>France</li>
<li>États-Unis</li>
</country>
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<li>Grand Est</li>
<li>Lorraine (région)</li>
<li>Pennsylvanie</li>
</region>
<settlement>
<li>Metz</li>
<li>Nancy</li>
<li>Pittsburgh</li>
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<li>Université de Lorraine</li>
<li>Université de Pittsburgh</li>
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<name sortKey="Mesaros, Annamaria" sort="Mesaros, Annamaria" uniqKey="Mesaros A" first="Annamaria" last="Mesaros">Annamaria Mesaros</name>
</noRegion>
<name sortKey="Diment, Aleksandr" sort="Diment, Aleksandr" uniqKey="Diment A" first="Aleksandr" last="Diment">Aleksandr Diment</name>
<name sortKey="Heittola, Toni" sort="Heittola, Toni" uniqKey="Heittola T" first="Toni" last="Heittola">Toni Heittola</name>
<name sortKey="Virtanen, Tuomas" sort="Virtanen, Tuomas" uniqKey="Virtanen T" first="Tuomas" last="Virtanen">Tuomas Virtanen</name>
</country>
<country name="États-Unis">
<region name="Pennsylvanie">
<name sortKey="Elizalde, Benjamin" sort="Elizalde, Benjamin" uniqKey="Elizalde B" first="Benjamin" last="Elizalde">Benjamin Elizalde</name>
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<name sortKey="Raj, Bhiksha" sort="Raj, Bhiksha" uniqKey="Raj B" first="Bhiksha" last="Raj">Bhiksha Raj</name>
<name sortKey="Shah, Ankit" sort="Shah, Ankit" uniqKey="Shah A" first="Ankit" last="Shah">Ankit Shah</name>
</country>
<country name="France">
<region name="Grand Est">
<name sortKey="Vincent, Emmanuel" sort="Vincent, Emmanuel" uniqKey="Vincent E" first="Emmanuel" last="Vincent">Emmanuel Vincent</name>
</region>
</country>
</tree>
</affiliations>
</record>

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