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Speech Analytics in Research Based on Qualitative Interviews. Experiences from KA3

 
: Leh, Almut; Köhler, Joachim; Gref, Michael; Himmelmann, Nikolaus P.

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Volltext urn:nbn:de:0011-n-5554438 (1.2 MByte PDF)
MD5 Fingerprint: 2394f0b131bcb27c00a7d63f5b06c36a
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Erstellt am: 27.8.2019


View 7 (2018), Nr.14, S.138-149
ISSN: 2213-0969
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Forschungsinfrastrukturen für die Geistes- und qualitativen Sozialwissenschaften; 01UG1511B; KA3
Kölner Zentrum für Analyse und Archivierung audiovisueller Daten
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IAIS ()
automatic speech recognition; speech retrieval; transcription; oral history; conversation analysis

Abstract
The paper presents aims and results of the project KA³ (Kölner Zentrum Analyse und Archivierung von audio-visual-Daten), in which advanced speech technologies are developed and provided to enhance the process of indexing and analysing speech recordings from the oral history domain and the language sciences. Close cooperation between speech technology scientists and digital humanities researchers is an important aspect of the project making sure that the development of the technologies answers the needs of research based on qualitative audio-visual interviews. For practical research reasons, the project focuses on the audio aspect, although visual aspects are of course equally important for the analysis of audio-visual data. The Cologne Centre for Analysis and Archiving of audio-visual data will provide the technologies as a central service.

: http://publica.fraunhofer.de/dokumente/N-555443.html