 That analysis was done with comparable performance (less than 1.5% in error rate) between discriminative DNNs and generative models.In 2010, researchers extended deep learning from TIMIT to large vocabulary speech recognition, by adopting large output layers of the DNN based on context-dependent HMM states constructed by decision trees.Advances in hardware have driven renewed interest in deep learning.