Researchers have introduced DONDO, a collection of open-source automatic speech recognition (ASR) models specifically designed for African languages. These models are built upon the w2v-BERT 2.0 architecture and include twenty-one monolingual and five multilingual versions, covering twenty-seven language varieties across six countries. The models were fine-tuned using religious texts and employ a novel language-conditioning mechanism, achieving average word error rates of 10-13% for multilingual families. All DONDO models are available on Hugging Face under the Apache-2.0 license, enabling free fine-tuning for various applications. AI
IMPACT Increases accessibility of speech recognition technology for numerous African languages, potentially accelerating AI adoption and research in these regions.
RANK_REASON Publication of a new set of open-source speech recognition models for underrepresented languages.
Read on Hugging Face Daily Papers →
- DONDO
- Ghana
- Hugging Face
- Kenya
- KhayaAI
- Nigeria
- Senegal
- Sierra Leone
- W2V-BERT 2.0
- Zimbabwe
- Apache Software License 2.0
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