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        <title>Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data</title>
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    <name type="personal">
        <namePart type="given">Hadrien</namePart>
        <namePart type="family">Titeux</namePart>
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    <name type="personal">
        <namePart type="given">Rachid</namePart>
        <namePart type="family">Riad</namePart>
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    <name type="personal">
        <namePart type="given">Xuan-Nga</namePart>
        <namePart type="family">Cao</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Nicolas</namePart>
        <namePart type="family">Hamilakis</namePart>
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    <name type="personal">
        <namePart type="given">Kris</namePart>
        <namePart type="family">Madden</namePart>
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    <name type="personal">
        <namePart type="given">Alejandrina</namePart>
        <namePart type="family">Cristia</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Anne-Catherine</namePart>
        <namePart type="family">Bachoud-Lévi</namePart>
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            <roleTerm authority="marcrelator" type="text">author</roleTerm>
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    <name type="personal">
        <namePart type="given">Emmanuel</namePart>
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            <title>Proceedings of the Twelfth Language Resources and Evaluation Conference</title>
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    <abstract>We introduce Seshat, a new, simple and open-source software to efficiently manage annotations of speech corpora. The Seshat software allows users to easily customise and manage annotations of large audio corpora while ensuring compliance with the formatting and naming conventions of the annotated output files. In addition, it includes procedures for checking the content of annotations following specific rules that can be implemented in personalised parsers. Finally, we propose a double-annotation mode, for which Seshat computes automatically an associated inter-annotator agreement with the gamma measure taking into account the categorisation and segmentation discrepancies.</abstract>
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%0 Conference Proceedings
%T Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data
%A Titeux, Hadrien
%A Riad, Rachid
%A Cao, Xuan-Nga
%A Hamilakis, Nicolas
%A Madden, Kris
%A Cristia, Alejandrina
%A Bachoud-Lévi, Anne-Catherine
%A Dupoux, Emmanuel
%S Proceedings of the Twelfth Language Resources and Evaluation Conference
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F titeux-etal-2020-seshat
%X We introduce Seshat, a new, simple and open-source software to efficiently manage annotations of speech corpora. The Seshat software allows users to easily customise and manage annotations of large audio corpora while ensuring compliance with the formatting and naming conventions of the annotated output files. In addition, it includes procedures for checking the content of annotations following specific rules that can be implemented in personalised parsers. Finally, we propose a double-annotation mode, for which Seshat computes automatically an associated inter-annotator agreement with the gamma measure taking into account the categorisation and segmentation discrepancies.
%U https://aclanthology.org/2020.lrec-1.861
%P 6976-6982

Markdown (Informal)

[Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data](https://aclanthology.org/2020.lrec-1.861) (Titeux et al., LREC 2020)

• Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data (Titeux et al., LREC 2020)

ACL

• Hadrien Titeux, Rachid Riad, Xuan-Nga Cao, Nicolas Hamilakis, Kris Madden, Alejandrina Cristia, Anne-Catherine Bachoud-Lévi, and Emmanuel Dupoux. 2020. Seshat: a Tool for Managing and Verifying Annotation Campaigns of Audio Data. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 6976–6982, Marseille, France. European Language Resources Association.