SYSTEM AND METHODS TO CREATE AND DETERMINE WHEN TO USE A MINIMAL USER SPECIFIC LANGUAGE MODEL

摘要

The technology of the present application provides apparatuses and methods that may be used to generate the smallest language model for a continuous speech recognition engine that covers a given speaker's speech patterns. The apparatuses and methods start with a generic language model that is an approximation to the given speaker's speech patterns. The given speaker generates corrected transcripts that allows for the generation of a user specific language model. Once the user specific language model is sufficiently robust, the continuous speech recognition system may replace the generic language model with the user specific language model.

主权项

1. A method performed on at least one processor of speech recognition wherein the speech recognition system replaces a generic language model with a user specific language model, comprising:
receiving a user specific language model that is formed from a corpus of material generated by a specific speaker; determining whether a continuous speech recognition system should use a generic language model or the user specific language model; if it is determined that the continuous speech recognition system should use the generic language model, repeating the receiving step and the determining step until it is determined that the continuous speech recognition system should use the user specific language model; and if it is determined that the continuous speech recognition system should use the user specific language model, causing the continuous speech recognition system to replace the generic language model with the user specific language model.