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Google Research Africa Unveils WAXAL, a New Open Dataset to Advance African Speech Technology

Google Research Africa has announced the launch of WAXAL, a new open dataset designed to accelerate the development of speech technology for African languages.
Anna Faraja February 9, 2026 2 minutes read
Google Research Africa Unveils WAXAL, a New Open Dataset to Advance African Speech Technology | Google Photos

Google Research Africa Unveils WAXAL, a New Open Dataset to Advance African Speech Technology | Google Photos

Google Research Africa has introduced WAXAL, a new open speech dataset aimed at supporting the development of inclusive and accurate speech technologies for African languages, according to an announcement published on Google’s research blog.

The dataset is designed to address long-standing gaps in speech technology, where many African languages remain underrepresented in global artificial intelligence systems. By making WAXAL openly available, Google says it hopes to empower researchers, startups, and developers across the continent and beyond.

WAXAL contains high-quality speech data collected with a focus on linguistic diversity, ethical sourcing, and community participation. Google Research Africa said the dataset was developed in collaboration with local language experts and contributors to ensure cultural and linguistic accuracy.

Speech technologies such as voice assistants, transcription tools, and accessibility services have historically performed poorly for African languages due to limited training data. WAXAL aims to help close that gap by providing a foundation for building systems that better understand African accents, pronunciations, and speech patterns.

According to Google, the initiative aligns with its broader commitment to responsible AI development and digital inclusion in Africa. The company emphasized that open datasets like WAXAL are critical for enabling innovation while avoiding dependence on proprietary or inaccessible data sources.

Researchers have welcomed the announcement, noting that open datasets can significantly reduce barriers for African universities and technology hubs working on language and AI projects with limited resources.

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