Presentation

http://lig-getalp.imag.fr/icphs-2019-special-session/

The special session Computational Approaches for Documenting and Analyzing Oral Languages welcomes submissions presenting innovative speech data collection methods and/or assistance for linguists and communities of speakers: methods and tools that facilitate collection, transcription and translation of primary language data. Oral languages is understood here as referring to spoken vernacular languages which depend on oral transmission, including endangered languages and (typically low-prestige) regional varieties of major languages.

The special session intends to provide up-to-date information to an audience of phoneticians about developments in machine learning that make it increasingly feasible to automate segmentation, alignment or labelling of audio recordings, even in less-documented languages. A methodological goal is to help establish the field of Computational Language Documentation and contribute to its close association with the phonetic sciences. Computational Language Documentation needs to build on the insights gained through phonetic research; conversely, research in phonetics stands to gain much from the availability of abundant and reliable data on a wider range of languages.

Laurent Besacier ? LIG UGA (France)
Alexis Michaud ? LACITO CNRS (France)
Martine Adda-Decker ? LPP CNRS (France)
Gilles Adda ? LIMSI CNRS (France)
Steven Bird ? CDU (Australia)
Graham Neubig ? CMU (USA)
François Pellegrino ? DDL CNRS (France)
Sakriani Sakti ? NAIST (Japan)
Mark Van de Velde ? LLACAN CNRS (France)

Endorsement

This special session is endorsed by SIGUL (Joint ELRA and ISCA Special Interest Group on Under-resourced Languages)