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Using context knowledge to improve the accuracy of recognition in voice browsing

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3 Author(s)
Li Honglian ; Inst. of Comput. & Inf. Technol., Northern Jiaotong Univ., Beijing, China ; Wang ChunHua ; Yuan Baozong

The accuracy of speech recognition is still a bottleneck to baffle the application of speech technology. We may improve the accuracy of recognition greatly by using context knowledge efficiently. In Web speech browsing, a user's speech input is usually one element of a finite set. Based on these observations, the paper first defines a kind of similarity between two Chinese text strings, then processes the recognition results of the engine to acquire more accurate results. Experiments show that our approach is mostly efficient.

Published in:

Signal Processing, 2002 6th International Conference on  (Volume:1 )

Date of Conference:

26-30 Aug. 2002