Performance Improvement of Speech Recognition Using Context and Usage Pattern Information 


Vol. 13,  No. 5, pp. 553-560, Oct.  2006
10.3745/KIPSTB.2006.13.5.553


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  Abstract

Speech recognition has recently been investigated to produce more reliable recognition results in a noisy environment, by integrating diverse sources of information into the result derivation-level or producing new results through post-processing the prior recognition results. In this paper we propose a method which uses the user's usage patterns and the context information in speech command recognition for personal mobile devices to improve the recognition accuracy in a noisy environment. Sequential usage (or speech) patterns prior to the current command spoken are used to adjust the base recognition results. For the context information, we use the relevance between the current function of the device in use and the spoken command. Our experiment results show that the proposed method achieves about 50% of error correction rate over the base recognition system. It demonstrates the feasibility of the proposed method.

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[IEEE Style]

W. M. Song and M. W. Kim, "Performance Improvement of Speech Recognition Using Context and Usage Pattern Information," The KIPS Transactions:PartB , vol. 13, no. 5, pp. 553-560, 2006. DOI: 10.3745/KIPSTB.2006.13.5.553.

[ACM Style]

Won Moon Song and Myung Won Kim. 2006. Performance Improvement of Speech Recognition Using Context and Usage Pattern Information. The KIPS Transactions:PartB , 13, 5, (2006), 553-560. DOI: 10.3745/KIPSTB.2006.13.5.553.

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