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.
@inproceedings{leemann15b_interspeech, title = {Voice Äpp: a mobile app for crowdsourcing Swiss German dialect data}, author = {Adrian Leemann and Marie-José Kolly and Jean-Philippe Goldman and Volker Dellwo and Ingrid Hove and Ibrahim Almajai and Sarah Grimm and Sylvain Robert and Daniel Wanitsch}, year = {2015}, booktitle = {Interspeech 2015}, pages = {2804--2808}, doi = {10.21437/Interspeech.2015-590}, issn = {2958-1796},}Cite as:Leemann, A., Kolly, M.-J., Goldman, J.-P., Dellwo, V., Hove, I., Almajai, I., Grimm, S., Robert, S., Wanitsch, D. (2015) Voice Äpp: a mobile app for crowdsourcing Swiss German dialect data. Proc. Interspeech 2015, 2804-2808, doi: 10.21437/Interspeech.2015-590