The Low Cost Implementation of Speech Recognition System for the Web


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 6, No. 4, pp. 1129-1135, Apr. 1999
10.3745/KIPSTE.1999.6.4.1129,   PDF Download:

Abstract

Isolated word recognition using the Dynamic Time Warping algorithm has shown good recognition rate on speaker dependent environment. But, practically, since the searching time of the Dynamic Time Warping algorithm is rapidly increased as searching data is increased, it is hard to implement. In the context-dependent-short-query system such as educational children's workbook on the Web, the number of responses to the specific questions is limited. Therefore, the searching space for the answers can be reduced depending on the questions. In this paper, low cost implementation method using DTW for the Web has been proposed. To cover the weakness of DTW, the searching space is reduced by the context. The searching space, depends on the specific questions, is chosen from interest searchable candidates. In the real implementation, the proposed method show better performance of both time and recognition rate.


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Cite this article
[IEEE Style]
P. Y. Bom and P. J. II, "The Low Cost Implementation of Speech Recognition System for the Web," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 4, pp. 1129-1135, 1999. DOI: 10.3745/KIPSTE.1999.6.4.1129.

[ACM Style]
Park Young Bom and Park Jong II. 1999. The Low Cost Implementation of Speech Recognition System for the Web. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 4, (1999), 1129-1135. DOI: 10.3745/KIPSTE.1999.6.4.1129.