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In the process of generation of meta-data, speech in news programs can be translate directly into text information based on ASR technology so as to improve cataloger's efficiency and the quality of meta-data before being put in media asset management database. For the purpose of this application, four optimal strategies has been put forward to improve the accuracy of text information extraction from news programs. The experimental results indicate that this four optimal strategies are efficient in extracting text information and the developed software based on the four optimal strategies has been put into catalog for news programs.

Research on the Optimal Strategies of Chinese News Program Catalog based on ASR