Researchers have developed TTSYoruba, a rule-based speech synthesizer for the Yoruba language. This system utilizes a hand-crafted phonological rule system and a recorded inventory of diphone units to convert tone-marked Yoruba text into audio. The system addresses challenges such as nasal disambiguation and contour tone derivation, and integrates new orthographic conventions for tone marking. Its performance was evaluated through a listener study with 50 participants. AI
IMPACT This development contributes to low-resource language NLP and speech synthesis capabilities.
RANK_REASON The cluster describes a new academic paper detailing a system design for a speech synthesizer. [lever_c_demoted from research: ic=1 ai=1.0]
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