DONDO: Open w2v-BERT Speech-Recognition Base Models for African Languages
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, Sierra Leone, Nigeria, Senegal, Kenya and Zimbabwe. Models are fine-tuned primarily on read speech drawn from religious texts, which offer broad, license-clear and orthographically consistent coverage for languages that otherwise lack transcribed audio. We describe a two-step (and, f
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- FuzzySimilar title/name (fuzzy) · 87%google-bert/bert-base-uncased →
“Fuzzy title match (0.94): “DONDO: Open w2v-BERT Speech-Recognition Base Models for Afri” ≈ “google-bert/bert-base-uncased””
- FuzzySimilar title/name (fuzzy) · 87%huggingface/speech-to-speech →
“Fuzzy title match (0.94): “DONDO: Open w2v-BERT Speech-Recognition Base Models for Afri” ≈ “huggingface/speech-to-speech””
- LinkedLinked via arxiv author · 85%Paul Azunre →
“DONDO: Open w2v-BERT Speech-Recognition Base Models for African Languages”