Building Text‐to‐Speech Models for Low‐Resourced Languages From Crowdsourced Data

Building Text‐to‐Speech Models for Low‐Resourced Languages From Crowdsourced Data

ABSTRACT Text‐to‐speech (TTS) models have expanded the scope of digital inclusivity by becoming a basis for assistive communication technologies for visually impaired people, facilitating language learning, and allowing for digital textual content consumption in audio form across various sectors. De...

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Bibliographic Details
Main Authors: Andrew Katumba, Sulaiman Kagumire, Joyce Nakatumba‐Nabende, John Quinn, Sudi Murindanyi
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Applied AI Letters
Subjects:
common voice
crowdsourced
Kiswahili
low‐resourced
Luganda
text‐to‐speech
Online Access:https://doi.org/10.1002/ail2.117
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