Analysis of Spatial Variation with App-Based Crowdsourced Audio Data

Kolly, Marie-José; Leemann, Adrian; Matter, Florian (9 September 2015). Analysis of Spatial Variation with App-Based Crowdsourced Audio Data. In: Interspeech 2015 (pp. 1710-1714). International Speech Communication Association (ISCA)

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Crowdsourcing technologies such as the use of web or smartphone applications enable the collection of large linguistic corpora. Such corpora allow for an analysis of various linguistic features. In the present contribution we analyzed data of >1500 speakers that were crowdsourced with the smartphone application ‘Dialäkt Äpp’ to examine one such feature: the articulation of /kh/ as [kx] in Swiss German. We compared our results with findings from historical dialectological surveys. Results showed evidence for sound change in progress in Northern Switzerland with [kx] diffusing towards Zurich but retreating from the Northeast. We discuss the findings against the backdrop of methodological caveats of crowdsourcing audio data through smartphone applications.

Item Type:

Conference or Workshop Item (Paper)


06 Faculty of Humanities > Department of Linguistics and Literary Studies > Institute of Linguistics

UniBE Contributor:

Matter, Florian


400 Language > 410 Linguistics
400 Language > 430 German & related languages


International Speech Communication Association (ISCA)




Florian Emmanuel Matter

Date Deposited:

15 Apr 2020 14:13

Last Modified:

05 Dec 2022 14:58




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