LIG-AIKUMA: a Mobile App to Collect Parallel Speech for Under-Resourced Language Studies

Abstract : This paper reports on our ongoing efforts to collect speech data in under-resourced or endangered languages of Africa. Data collection is carried out using an improved version of the An-droid application (AIKUMA) developed by Steven Bird and colleagues [1]. Features were added to the app in order to facilitate the collection of parallel speech data in line with the requirements of the French-German ANR/DFG BULB (Breaking the Unwritten Language Barrier) project. The resulting app, called LIG-AIKUMA, runs on various mobile phones and tablets and proposes a range of different speech collection modes (recording , respeaking, translation and elicitation). It was used for field data collections in Congo-Brazzaville resulting in a total of over 80 hours of speech.
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Submitted on : Friday, July 29, 2016 - 3:17:52 PM
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Elodie Gauthier, David Blachon, Laurent Besacier, Guy-Noel Kouarata, Martine Adda-Decker, et al.. LIG-AIKUMA: a Mobile App to Collect Parallel Speech for Under-Resourced Language Studies. Interspeech 2016 (short demo paper), Sep 2016, San-Francisco, France. ⟨hal-01350062⟩

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