In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

In spite of the recent progress in speech processing, the majority of world languages and
dialects remain uncovered. This situation only furthers an already wide technological divide …

The African continent lacks enough qualified teachers which hampers the provision of
adequate learning support. An AI could potentially augment the efforts of the limited number …

Despite advancements in speech recognition, accented speech remains challenging. While
previous approaches have focused on modeling techniques or creating accented speech …

Recent advancements in large language model (LLM) performance on medical multiple
choice question (MCQ) benchmarks have stimulated interest from healthcare providers and …

Kenya, known for its linguistic diversity, faces unique challenges and promising
opportunities in advancing Natural Language Processing (NLP) technologies, particularly …

We present the first self-supervised multilingual speech model trained exclusively on African
speech. The model learned from nearly 60 000 hours of unlabeled speech segments in 21 …

Recent advances in speech synthesis have enabled many useful applications like audio
directions in Google Maps, screen readers, and automated content generation on platforms …

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 …

Currently, the development of Foreign Accent Conversion (FAC) models utilizes deep neural
network architectures, as well as ensembles of neural networks for speech recognition and …