Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages
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14 mai 2014
- handle: 10670/1.d9pzvm
- halshs: halshs-00980431
info:eu-repo/semantics/OpenAccess
Mots-clés
Acoustic models automatic speech recognition (ASR) multilingual modelling under-resourced languages endangered languages Yongning Na Naish languages language portability statistical language modeling crosslingual acoustic modelling and adaptationSujets proches
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Thi-Ngoc-Diep Do et al., « Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages », HAL-SHS : linguistique, ID : 10670/1.d9pzvm
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Résumé
Automatic speech processing technologies hold great potential to facilitate the urgent task of documenting the world's languages. The present research aims to explore the application of speech recognition tools to a little-documented language, with a view to facilitating processes of annotation, transcription and linguistic analysis. The target language is Yongning Na (a.k.a. Mosuo), an unwritten Sino-Tibetan language with less than 50,000 speakers. An acoustic model of Na was built using CMU Sphinx. In addition to this 'light' model, trained on a small data set (only 4 hours of speech from 1 speaker), 'heavyweight' models from five national languages (English, French, Chinese, Vietnamese and Khmer) were also applied to the same data. Preliminary results are reported, and perspectives for the long road ahead are outlined.