Efforts to Apply Natural Language Processing Technologies in Africa

  • Kweku Yamoah Ashesi University
Keywords: Automatic Speech Recognition(ASR), Natural Language Processing(NLP), Text-to-Speech(TTS), Hidden Markov Model and Gaussian Mixture Model(CD-HMM/GMM), Deep Neural Networks(DNN), Convolutional Neural Networks(CNN)


The primary objective of this paper is to investigate the developments and advancements made in Automatic Speech Recognition (ASR), Natural Language Processing (NLP), and Text-to-Speech (TTS) technologies for African languages and problems. The paper addresses the challenges the African continent faces in implementing these technologies. Additionally, the paper proposes a novel concept that combines computer vision, NLP, and TTS to aid visually impaired individuals in Ghana.




Author Biography

Kweku Yamoah, Ashesi University



How to Cite
Kweku Yamoah. (2023). Efforts to Apply Natural Language Processing Technologies in Africa. Science Engineering Entrepreneurship Design (SEED) Journal, 2(1). Retrieved from https://journal.ashesi.edu.gh/index.php/seed/article/view/63