A curated crowdsourced dataset of Luganda and Swahili speech for text-to-speech synthesisMendeley Data

A curated crowdsourced dataset of Luganda and Swahili speech for text-to-speech synthesisMendeley Data

This data article describes a curated, crowdsourced speech dataset in Luganda and Kiswahili, created to support text-to-speech (TTS) development in low-resource settings. The dataset is derived from Mozilla’s Common Voice corpus and includes only validated utterances from female speakers. A multi-st...

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Bibliographic Details
Main Authors: Andrew Katumba, Sulaiman Kagumire, Joyce Nakatumba-Nabende, John Quinn, Sudi Murindanyi
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Data in Brief
Subjects:
Speech dataset
Text-to-speech
Low-resource languages
Luganda
Kiswahili
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925006390
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