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This research directly addresses the performance gap of large language models for low-resource languages by focusing on ten African languages. It proposes geometric regularization…
A new AI model, VEXMLM, significantly improves language processing for Ge'ez-script African languages like Amharic and Tigrinya. These advancements also transfer to 17 other…
This research directly addresses the challenges of developing automatic speech recognition for low-resource African languages. The study utilized two Africa-centric datasets to…
A new rule-based AI speech synthesizer, TTSYoruba, has been developed for the Yoruba language, a significant step for African language technology. This system is deployed online…
Researchers have developed TTSYoruba, an advanced text-to-speech system specifically for the Yoruba language, a major language spoken across West Africa. This innovation addresses…
This research significantly advances AI's capability to adapt multilingual models to low-resource languages by evaluating its novel DeltaMerge-LowRes method on four African…
This research presents the first end-to-end Text-to-Speech (TTS) study for Efik, a tonal language spoken in Southeastern Nigeria, addressing its underrepresentation in digital…
A new study exploring Automatic Speech Recognition for low-resource African languages found that linguistic relatedness alone is not a reliable predictor for cross-lingual…
A new AI technique, Crosslingual On-Policy Self-Distillation (COPSD), has been developed and proven to significantly enhance mathematical reasoning capabilities of large language…
A new AI text-to-speech benchmark, OpenBibleTTS, includes 37 underrepresented languages, with specific models showing strong intelligibility and user preference in several African…
This research addresses the critical scarcity of digital text data for African languages by developing and evaluating ASR pipelines for Fongbe and Hausa. The project significantly…
This research paper critically examines the licensing landscape of Natural Language Processing (NLP) corpora specifically for low-resource African languages. It reveals widespread…
