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Voice Äpp: a mobile app for crowdsourcing Swiss German dialect data

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  • Adrian Leemann
  • Marie-José Kolly
  • Jean-Philippe Goldman
  • Volker Dellwo
  • Ingrid Hove
  • Ibrahim Almajai
  • Sarah Grimm
  • Sylvain Robert
  • Daniel Wanitsch
Publication date2015
Host publicationInterspeech 2015: 16th Annual Conference of the International Speech Communication Association
Number of pages5
<mark>Original language</mark>English

Publication series

NameProceedings of Interspeech
ISSN (Print)1990-9770


Crowdsourcing speech data through mobile applications is relatively new. In the present contribution we add to the existing body of research an innovative Android and iOS application called `Voice Äpp'. The free app is pioneering in the sense that it leverages its function as a medium for science communication — thus attracting an extensive user base — to crowdsource audio and dialect data. The app was launched in early 2015 and has already been downloaded 19k times. Nearly half a million audio tokens have been crowdsourced. In this system levels contribution we describe the basic functionalities of the app — voice and dialect analysis —, we present the scientific potential of the corpus created, and discuss methodological issues related to crowdsourcing audio data through mobile applications.