External language model fusing method for speech recognition

A computer program product for fusing an end-to-end speech recognition model with an external language model (ExternalLM), the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• obtaining, by a hardware processor, an output of the end-to-end speech recognition model, the output being a probability distribution;
• transforming, by the hardware processor, the probability distribution into a transformed probability distribution to relax a sharpness of the probability distribution;
• and
• fusing, by the hardware processor, the transformed probability distribution and a probability distribution of the ExternalLM for decoding speech.

A computer processing system for fusing an end-to-end speech recognition model with an external language model (ExternalLM), the computer processing system comprising:

• a memory device for storing program code;
• and
• a hardware processor operatively coupled to the memory device for running the program code to
• obtain an output of the end-to-end speech recognition model, the output being a probability distribution;
• transform the probability distribution into a transformed probability distribution to relax a sharpness of the probability distribution;
• and
• fuse the transformed probability distribution and a probability distribution of the ExternalLM for decoding speech.