Natural speech contains a wide variety of expressions, making it much more difficult to recognize than specified verbal commands. We have developed a method using a language model template to generate language models capable of recognizing manifold expressions. This template method is designed on the basis of the modification structure of keywords. The evaluation results for a language model generated with this method showed that it allowed 630,000 command patterns with a high recognition rate of 96%. The results also revealed that the processing speed and memory used for speech recognition with this language model were at a practical level.
Network Language Model Generated from a Modification Structure-based Language Model Template
Sae Technical Papers
SAE World Congress & Exhibition ; 2009
2009-04-20
Conference paper
English
Network language model generated from a modification structure-based language model template
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