Publikation: Self Organizing Maps for the Visual Analysis of Pitch Contours
Lade...
Dateien
Datum
2015
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
BEÁTA MEGYESI, , ed.. Proceedings of the 20th Nordic Conference of Computational Linguistics : NODALIDA 2015 ; May 11–13, 2015 in Vilnius, Lithuania. ACL Anthology, 2015, pp. 181-189. eISSN 1650-3740. ISBN 978-91-7519-098-3
Zusammenfassung
We present a novel interactive approach for the visual analysis of intonation contours. Audio data are processed algorithmically and presented to researchers through interactive visualizations. To this end, we automatically analyze the data using machine learning in order to find groups or patterns. These results are visualized with respect to meta-data. We present a flexible, interactive system for the analysis of prosodic data. Using real-world application examples, one containing preprocessed, the other raw data, we demonstrate that our system enables researchers to interact dynamically with the data at several levels and by means of different types of visualizations, thus arriving at a better understanding of the data via a cycle of hypothesis generation and testing that takes full advantage of our visual processing abilities.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
400 Sprachwissenschaft, Linguistik
Schlagwörter
Konferenz
20th Nordic Conference of Computational Linguistics, 11. Mai 2015 - 13. Mai 2015, Vilnius
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690
SACHA, Dominik, Yuki ASANO, Christian ROHRDANTZ, Felix HAMBORG, Daniel A. KEIM, Bettina BRAUN, Miriam BUTT, 2015. Self Organizing Maps for the Visual Analysis of Pitch Contours. 20th Nordic Conference of Computational Linguistics. Vilnius, 11. Mai 2015 - 13. Mai 2015. In: BEÁTA MEGYESI, , ed.. Proceedings of the 20th Nordic Conference of Computational Linguistics : NODALIDA 2015 ; May 11–13, 2015 in Vilnius, Lithuania. ACL Anthology, 2015, pp. 181-189. eISSN 1650-3740. ISBN 978-91-7519-098-3BibTex
@inproceedings{Sacha2015Organ-31874,
year={2015},
title={Self Organizing Maps for the Visual Analysis of Pitch Contours},
isbn={978-91-7519-098-3},
publisher={ACL Anthology},
booktitle={Proceedings of the 20th Nordic Conference of Computational Linguistics : NODALIDA 2015 ; May 11–13, 2015 in Vilnius, Lithuania},
pages={181--189},
editor={Beáta Megyesi},
author={Sacha, Dominik and Asano, Yuki and Rohrdantz, Christian and Hamborg, Felix and Keim, Daniel A. and Braun, Bettina and Butt, Miriam}
}RDF
<rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/31874">
<dc:contributor>Braun, Bettina</dc:contributor>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dc:contributor>Rohrdantz, Christian</dc:contributor>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-09-30T10:18:22Z</dcterms:available>
<dc:creator>Braun, Bettina</dc:creator>
<dc:contributor>Asano, Yuki</dc:contributor>
<dc:contributor>Keim, Daniel A.</dc:contributor>
<dc:contributor>Hamborg, Felix</dc:contributor>
<dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/31874/1/Sacha_0-292950.pdf"/>
<dcterms:abstract xml:lang="eng">We present a novel interactive approach for the visual analysis of intonation contours. Audio data are processed algorithmically and presented to researchers through interactive visualizations. To this end, we automatically analyze the data using machine learning in order to find groups or patterns. These results are visualized with respect to meta-data. We present a flexible, interactive system for the analysis of prosodic data. Using real-world application examples, one containing preprocessed, the other raw data, we demonstrate that our system enables researchers to interact dynamically with the data at several levels and by means of different types of visualizations, thus arriving at a better understanding of the data via a cycle of hypothesis generation and testing that takes full advantage of our visual processing abilities.</dcterms:abstract>
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/45"/>
<dcterms:issued>2015</dcterms:issued>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-09-30T10:18:22Z</dc:date>
<dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/31874/1/Sacha_0-292950.pdf"/>
<dc:contributor>Sacha, Dominik</dc:contributor>
<dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
<dc:creator>Butt, Miriam</dc:creator>
<dc:language>eng</dc:language>
<dc:creator>Asano, Yuki</dc:creator>
<dc:creator>Keim, Daniel A.</dc:creator>
<dc:contributor>Butt, Miriam</dc:contributor>
<dcterms:title>Self Organizing Maps for the Visual Analysis of Pitch Contours</dcterms:title>
<dc:creator>Rohrdantz, Christian</dc:creator>
<dc:creator>Hamborg, Felix</dc:creator>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:creator>Sacha, Dominik</dc:creator>
<dc:rights>terms-of-use</dc:rights>
<bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/31874"/>
</rdf:Description>
</rdf:RDF>Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
