A survey paper maps the main barriers to speech recognition for African low-resource languages and proposes community-driven data collection, self-supervised learning, lightweight models, and privacy techniques as the path forward, based on a small set of pilot projects.
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Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions
A survey paper maps the main barriers to speech recognition for African low-resource languages and proposes community-driven data collection, self-supervised learning, lightweight models, and privacy techniques as the path forward, based on a small set of pilot projects.