Word Error Correction of Continuous Speech Recognition Using WEB Documents for Spoken Document Indexing

摘要

This paper describes an error correction method of continuous speech recognition using WEB documents for spoken documents indexing. We performed an experiment of error correction for news speech automatically transcribed, where we focused on especially proper nouns. Two LVCSR systems were used to detect correctly and incorrectly recognized words. Keywords for the Internet search engine were selected among the correctly transcribed words, then correct candidates for the mis-recognized words were obtained in retrieved documents. A Dynamic Programming (DP) technique with a confusion matrix was utilized to compare the candidates with the mis-recognized words. In results of experiment of error correction, recognition rate of proper nouns achieved improvement of about 10% by using WEB documents.