Parallel speech collection for under-resourced language studies using the LIG-AIKUMA mobile device app

Autor: Laurent Besacier, David Blachon, Guy-Noël Kouarata, Martine Adda-Decker, Annie Rialland, Elodie Gauthier

Publikováno v: SLTU-2016 5TH WORKSHOP ON SPOKEN LANGUAGE TECHNOLOGIES FOR UNDER-RESOURCED LANGUAGES
Procedia computer science
Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU)
Workshop on Spoken Language Technologies for Under-resourced Languages (SLTU), May 2016, Yogyakarta, Indonesia. ⟨10.1016/j.procs.2016.04.030⟩
SLTU

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 Android application AIKUMA developed by Steven Bird and colleagues(

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcc4e4ba2140ed21653b077575c1dcc7
https://hdl.handle.net/1854/LU-01GX8Q95FHVTJJ4GYZCT1PJPG5

Web based and voice enabled IVRS for large scale Malayalam speech data collection

Autor: DivyaDas, V K Bhadran, Shobana devi P, Jose Stephen

Publikováno v: 2014 International Conference on Contemporary Computing and Informatics (IC3I).

Speech corpora are vital resource in development and evaluation of automatic speech recognition systems, as well as for acoustic phonetic studies. Collecting a huge corpus is not an easy task. The lack of such resources is one of the reasons for the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b2c4df5d253538779e22ec1c6bac498f
https://doi.org/10.1109/ic3i.2014.7019717