Combining semi-supervised learning, data augmentation, and reinforcement learning using rewards based on implicit customer feedback and natural-language-understanding semantics reduces word error rate by more than 10%.Read More
Combining semi-supervised learning, data augmentation, and reinforcement learning using rewards based on implicit customer feedback and natural-language-understanding semantics reduces word error rate by more than 10%.Read More