1 citations · 1 across the 5 of their papers we have counts for
5 papers
1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis
Sewade Ogun, Abraham T. Owodunni, Tobi Olatunji +6
Recent advances in speech synthesis have enabled many useful applications like audio directions in Google Maps, screen readers, and automated content generation on platforms like T…
Performant ASR Models for Medical Entities in Accented Speech
Tejumade Afonja, Tobi Olatunji, Sewade Ogun +3
Recent strides in automatic speech recognition (ASR) have accelerated their application in the medical domain where their performance on accented medical named entities (NE) such a…
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents
Abraham Toluwase Owodunni, Aditya Yadavalli, Chris Chinenye Emezue +2
Despite advancements in speech recognition, accented speech remains challenging. While previous approaches have focused on modeling techniques or creating accented speech datasets,…
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR
Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli +8
Africa has a very low doctor-to-patient ratio. At very busy clinics, doctors could see 30+ patients per day -- a heavy patient burden compared with developed countries -- but produ…
AfriNames: Most ASR models "butcher" African Names
Tobi Olatunji, Tejumade Afonja, Bonaventure F. P. Dossou +4
Useful conversational agents must accurately capture named entities to minimize error for downstream tasks, for example, asking a voice assistant to play a track from a certain art…