no code implementations • 16 May 2024 • Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende, John Quinn
In this paper, we show that the quality of Luganda TTS from Common Voice can improve by training on multiple speakers of close intonation in addition to further preprocessing of the training data.
no code implementations • LREC 2022 • Jonathan Mukiibi, Andrew Katumba, Joyce Nakatumba-Nabende, Ali Hussein, Josh Meyer
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 is the main medium of public communication and discussions.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 20 Jun 2021 • Dativa K. Tizikara, Jonathan Serugunda, Andrew Katumba
In this paper we review optical performance monitoring techniques where machine learning algorithms have been applied.
no code implementations • 28 Mar 2021 • Ben Wycliff Mugalu, Rodrick Calvin Wamala, Jonathan Serugunda, Andrew Katumba
This paper reports how machine learning based face recognition can be integrated into a web-based system as a method of authentication to reap the benefits of improved usability.
no code implementations • 28 Jul 2020 • Andrew Katumba, Moses Bomera, Cosmas Mwikirize, Gorret Namulondo, Mary Gorret Ajero, Idd Ramathani, Olivia Nakayima, Grace Nakabonge, Dorothy Okello, Jonathan Serugunda
Pests and diseases pose a key challenge to passion fruit farmers across Uganda and East Africa in general.
no code implementations • 8 Oct 2018 • Matthias Freiberger, Andrew Katumba, Peter Bienstman, Joni Dambre
As Moore's law comes to an end, neuromorphic approaches to computing are on the rise.