TESTING AND TUNING METHOD OF AUTOMATIC SPEECH RECOGNITION SYSTEM USING SYNTHETIC INPUT GENERATED FROM ACOUSTIC MODEL OF SPEECH RECOGNITION SYSTEM

摘要

PROBLEM TO BE SOLVED: To provide a system and method of testing and tuning a speech recognition system by giving pronunciation to a speech recognizing device.;SOLUTION: First a text document is provided to the system and converted into a sequence of phonemes that are representative of the words in the text. The phonemes are then converted to model units, such as Hidden Markov Models. From the models a probability is obtained for each model or state, and feature vectors are determined. The feature vector, matching the most probable vector for each state, is selected for each model. These ideal feature vectors are provided to the speech recognition device, and processed. The end result is compared with the original text, and modifications to the system can be made based on the output text.;COPYRIGHT: (C)2006,JPO&NCIPI