LABEL SMOOTHING TECHNIQUE FOR IMPROVING GENERALIZATION OF DEEP NEURAL NETWORK ACOUSTIC MODELS

One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to n-best based label smoothing techniques for improving generalization of DNN acoustic models. A computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a generation component that can generate one or more n-best hypotheses of a ground truth label sequence, using one or more acoustic models, wherein the one or more n-best hypotheses of the ground truth label sequence can represent one or more competing labels that can be used to smooth out the ground truth label sequence.