most citedWhat We Know So Far: Artificial Intelligence in African Healthcare

4 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

eess.AS2024

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…

eess.AS2024

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…

cs.CV20242 cited

TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model

Wiktor Mucha, Florin Cuconasu, Naome A. Etori +2

The ability to read, understand and find important information from written text is a critical skill in our daily lives for our independence, comfort and safety. However, a signifi…

cs.CL2024

Text Categorization Can Enhance Domain-Agnostic Stopword Extraction

Houcemeddine Turki, Naome A. Etori, Mohamed Ali Hadj Taieb +6

This paper investigates the role of text categorization in streamlining stopword extraction in natural language processing (NLP), specifically focusing on nine African languages al…

cs.CL20231 cited

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…

cs.CY20234 cited

What We Know So Far: Artificial Intelligence in African Healthcare

Naome Etori, Ebasa Temesgen, Maria Gini

Healthcare in Africa is a complex issue influenced by many factors including poverty, lack of infrastructure, and inadequate funding. However, Artificial intelligence (AI) applied…