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  4. Speech Analytics in Research Based on Qualitative Interviews. Experiences from KA3
 
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2018
Journal Article
Title

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

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.
Author(s)
Leh, Almut
ernUniversität in Hagen
Köhler, Joachim  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Gref, Michael  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Himmelmann, Nikolaus P.
Universität zu Köln
Journal
View  
Project(s)
KA3
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Open Access
File(s)
Download (1.27 MB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.18146/2213-0969.2018.jethc158
10.24406/publica-r-258575
Additional link
Full text
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • automatic speech recognition

  • speech retrieval

  • transcription

  • oral history

  • conversation analysis

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