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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Voice Äpp: a mobile app for crowdsourcing Swiss German dialect data. / Leemann, Adrian; Kolly, Marie-José; Goldman, Jean-Philippe et al.
Interspeech 2015: 16th Annual Conference of the International Speech Communication Association. 2015. p. 2804-2808 (Proceedings of Interspeech).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

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. in Interspeech 2015: 16th Annual Conference of the International Speech Communication Association. Proceedings of Interspeech, pp. 2804-2808. <https://www.isca-speech.org/archive/interspeech_2015/i15_2804.html>

APA

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. In Interspeech 2015: 16th Annual Conference of the International Speech Communication Association (pp. 2804-2808). (Proceedings of Interspeech). https://www.isca-speech.org/archive/interspeech_2015/i15_2804.html

Vancouver

Leemann A, Kolly MJ, Goldman JP, Dellwo V, Hove I, Almajai I et al. Voice Äpp: a mobile app for crowdsourcing Swiss German dialect data. In Interspeech 2015: 16th Annual Conference of the International Speech Communication Association. 2015. p. 2804-2808. (Proceedings of Interspeech).

Author

Leemann, Adrian ; Kolly, Marie-José ; Goldman, Jean-Philippe et al. / Voice Äpp : a mobile app for crowdsourcing Swiss German dialect data. Interspeech 2015: 16th Annual Conference of the International Speech Communication Association. 2015. pp. 2804-2808 (Proceedings of Interspeech).

Bibtex

@inproceedings{5776e0abd5cc452a8644c8a634002990,
title = "Voice {\"A}pp: a mobile app for crowdsourcing Swiss German dialect data",
abstract = "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 {\"A}pp'. 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.",
author = "Adrian Leemann and Marie-Jos{\'e} 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",
language = "English",
series = "Proceedings of Interspeech",
pages = "2804--2808",
booktitle = "Interspeech 2015",

}

RIS

TY - GEN

T1 - Voice Äpp

T2 - a mobile app for crowdsourcing Swiss German dialect data

AU - Leemann, Adrian

AU - Kolly, Marie-José

AU - Goldman, Jean-Philippe

AU - Dellwo, Volker

AU - Hove, Ingrid

AU - Almajai, Ibrahim

AU - Grimm, Sarah

AU - Robert, Sylvain

AU - Wanitsch, Daniel

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

M3 - Conference contribution/Paper

T3 - Proceedings of Interspeech

SP - 2804

EP - 2808

BT - Interspeech 2015

ER -