By way of example, an algorithm can be fed a lesser amount of labeled speech data and then trained on a much bigger set of unlabeled speech data to be able to make a machine learning product able to speech recognition., from everyday tasks to bold and imaginative endeavors. It could possibly unlock new scientific discoveries and opportunities, and