Improved speech recognition using iterative decoding based on confidence measures
نویسندگان
چکیده
In this paper, a decoding method incorporating word-level conndence measures for improved speech recognition is presented. At rst, we focus on the estimation of conndence measures from the word graph and evaluate them in word graph rescoring (2nd-pass in 2-pass search system). Next, we propose the lexical tree search (1st-pass in 2-pass search system) incorporating the word-level conndence measures and an iterative decoding based on the conndence measures, resulting in the reconstruction of the word graph. The experimental results showed that this method achieved a slight i m p r o vement a t w ord accuracy.
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تاریخ انتشار 2001