Adapting a pretrained machine translation (MT) model to new terminology usually requires new parallel data and another round of fine-tuning, which is costly for low-resource languages. We ask whether controllability can be added to MT, and the fine-tuning burden reduced, without degrading the pretrained model. GLOSS-MT...
Mich-Seth Owusu, Stephen E. Moore, Akwasi Asare et al.· 0 citations
An end-to-end study of automatic speech recognition (ASR) for adolescent health communication in three Ghanaian languages, validated through KasaHealth, a live voice-first ASRH application deployed in all three languages, complemented by Senti-Check, a technical evaluation harness.
Stephen E. Moore, Akwasi Asare, Mich-Seth Owusu et al.· 0 citations
We present DONDO, a family of open, permissively licensed automatic speech recognition (ASR) base models for African languages, built on the w2v-BERT 2.0 self-supervised speech encoder. DONDO comprises twenty-one monolingual models and five multilingual models spanning twenty-seven language varieties across Ghana, Sier...
Paul Azunre, Naafi Dasana Ibrahim, Joel Budu et al.· arXiv.org· 0 citations
We present DONDO, a family of open, permissively licensed automatic speech recognition (ASR) base models for African languages, built on the w2v-BERT 2.0 self-supervised speech encoder. DONDO comprises twenty-one monolingual models and five multilingual models spanning twenty-seven language varieties across Ghana, Sier...
P. Azunre, AI Khaya· 0 citations
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