Around 2011 a group of researchers from Microsoft and the University of Toronto created a speech recognition system based on deep learning that vastly outperformed existing systems. That marked the start of a shift towards systems based on neural networks and these days speech researchers and speech products have coalesced around deep learning. Researchers in natural language processing and understanding are also beginning to use deep learning, but other machine learning methods remain important in many commercial products. Because their applications are so widespread, natural language and speech technologies are a strong focus in our conference in Beijing.
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