Patent ID: 9728185
Date: 2017-08-08
CPC Classifications: G06N,G10L

Claim:
1. A method comprising: pre-training, by a speech recognition system that includes a language model, the language model on a first set of text training data to obtain first trained parameter values for the language model; pre-training, by the speech recognition system that includes an inverse pronunciation model, the inverse pronunciation model on a second set of text training data that is a different set of text training data than the first set of text training data to obtain first trained parameter values for the inverse pronunciation model, the inverse pronunciation model being a different model than the language model; pre-training, by the speech recognition system that includes an acoustic model, the acoustic model on a first set of audio data to obtain first trained parameter values for the acoustic model, the acoustic model being a different model than the language model and a different model than the inverse pronunciation model; receiving, by the speech recognition system, a second set of audio data that a) comprises a plurality of audio inputs and b) is a different set of audio data than the first set of audio data; training, by the speech recognition system and subsequent to the pre-training, the acoustic model, the inverse pronunciation model, and the language model on the second set of audio data to obtain: causing, by the speech recognition system, storage of the acoustic model that includes the respective second trained parameter values, the inverse pronunciation model that includes the respective second trained parameter values, and the language model that includes the respective second trained parameter values for use together during a speech recognition process.