5 citations · 17 across the 14 of their papers we have counts for
14 papers
WAXAL: A Large-Scale Multilingual African Language Speech Corpus
Abdoulaye Diack, Perry Nelson, Kwaku Agbesi +40
The advancement of speech technology has predominantly favored high-resource languages, creating a significant digital divide for speakers of most Sub-Saharan African languages. To…
Machine Learning for Detection and Severity Estimation of Sweetpotato Weevil Damage in Field and Lab Conditions
Doreen M. Chelangat, Sudi Murindanyi, Bruce Mugizi +6
Sweetpotato weevils (Cylas spp.) are considered among the most destructive pests impacting sweetpotato production, particularly in sub-Saharan Africa. Traditional methods for asses…
Benchmarking Automatic Speech Recognition Models for African Languages
Alvin Nahabwe, Sulaiman Kagumire, Denis Musinguzi +5
Automatic speech recognition (ASR) for African languages remains constrained by limited labeled data and the lack of systematic guidance on model selection, data scaling, and decod…
Automatic Speech Recognition (ASR) for African Low-Resource Languages: A Systematic Literature Review
Sukairaj Hafiz Imam, Tadesse Destaw Belay, Kedir Yassin Husse +7
ASR has achieved remarkable global progress, yet African low-resource languages remain rigorously underrepresented, producing barriers to digital inclusion across the continent wit…
mSTEB: Massively Multilingual Evaluation of LLMs on Speech and Text Tasks
Luel Hagos Beyene, Vivek Verma, Min Ma +4
Large Language models (LLMs) have demonstrated impressive performance on a wide range of tasks, including in multimodal settings such as speech. However, their evaluation is often…
Amplify Initiative: Building A Localized Data Platform for Globalized AI
Qazi Mamunur Rashid, Erin van Liemt, Tiffany Shih +19
Current AI models often fail to account for local context and language, given the predominance of English and Western internet content in their training data. This hinders the glob…
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
Sudi Murindanyi, Joyce Nakatumba-Nabende, Rahman Sanya +2
The increasing popularity of Artificial Intelligence in recent years has led to a surge in interest in image classification, especially in the agricultural sector. With the help of…
Building a Luganda Text-to-Speech Model From Crowdsourced Data
Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende +1
Text-to-speech (TTS) development for African languages such as Luganda is still limited, primarily due to the scarcity of high-quality, single-speaker recordings essential for trai…
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder +42
African languages are spoken by over a billion people, but are underrepresented in NLP research and development. The challenges impeding progress include the limited availability o…
The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition
Jonathan Mukiibi, Andrew Katumba, Joyce Nakatumba-Nabende +2
Building a usable radio monitoring automatic speech recognition (ASR) system is a challenging task for under-resourced languages and yet this is paramount in societies where radio…
Misinformation detection in Luganda-English code-mixed social media text
Peter Nabende, David Kabiito, Claire Babirye +2
The increasing occurrence, forms, and negative effects of misinformation on social media platforms has necessitated more misinformation detection tools. Currently, work is being do…
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig +58
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named en…
Scoring Root Necrosis in Cassava Using Semantic Segmentation
Jeremy Francis Tusubira, Benjamin Akera, Solomon Nsumba +2
Cassava a major food crop in many parts of Africa, has majorly been affected by Cassava Brown Streak Disease (CBSD). The disease affects tuberous roots and presents symptoms that i…
Keyword Spotter Model for Crop Pest and Disease Monitoring from Community Radio Data
Benjamin Akera, Joyce Nakatumba-Nabende, Jonathan Mukiibi +4
In societies with well developed internet infrastructure, social media is the leading medium of communication for various social issues especially for breaking news situations. In…