Google Research has released WAXAL, a large-scale, open-access dataset designed to advance speech technology for 27 African languages. The resource includes approximately 1,846 hours of transcribed spontaneous speech for automatic speech recognition and over 565 hours of high-fidelity recordings for text-to-speech synthesis. This initiative aims to bridge the digital divide by empowering the African AI ecosystem to develop inclusive voice-enabled technologies that reflect the continent's linguistic diversity. AI
排序理由 Release of a large-scale, open-access dataset for African languages by Google Research.
- Abdoulaye Diack
- Chris Benson
- Daniel Whitenack
- Google Research
- Joyce Nabende
- Kathleen Siminyu
- Mozilla
- Tavonga Siyavora
- WAXAL
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
