Patent ID: 6934682
Filing Date: 2005-08-23
Classification: G10L

Abstract:
1. In a remote training system, a method for processing a speech misrecognition generated when converting speech audio to text in an embedded speech recognition system comprising: locally speech recognizing speech audio within an embedded speech recognition system using an active acoustic model; presenting a result from the speech recognizing step upon the embedded device; responsive to the presenting of the result, detecting a speech misrecognition based upon user input; a remote training system receiving from the embedded speech recognition system an indication of the detected speech misrecognition and the active acoustic model both associated with the detected speech misrecognition in said embedded speech recognition system; the remote training system, first presenting a list of valid phrases which were contextually valid when the speech misrecognition occurred, and second presenting a list of words forming a selected one of said first presented contextually valid phrases; the remote training system, modifying said active acoustic model based on selected ones of said words in said list and said indication; and, transmitting said modified acoustic model from the remote training system to said embedded speech recognition system, wherein the embedded speech recognition system utilizes the modified acoustic model to locally speech recognize utterances.