Speech recognition system trains on radio archive to learn Niger Congo languages
Researchers at Stanford and GNCode created a new dataset and model trained from radio archives of 'low-resource' African languages. https://bit.ly/3b7cwsT
GUEST: I remember it fondly … long road trips with my family and hours in the car, with Tetris on my brother’s Game Boy keeping us company. Clearing line after line, nailing a Tetris whenever I could, having that iconic music loop in my head for hours until the batteries died … for many of us, […] https://bit.ly/2QFq9os