Implementation and Optimization of Interception System Based on Speech Retrieval

Based on the technology of speech retrieval and combined with the adaptive correlation filter module, an optimized interception system is constructed. The interception system based on speech retrieval is improved and optimized from two aspects. One is using context related initialfinal as the acoustic model of keyword recognition. The other is putting forward a correlation judgment module to re-filter the speech documents that have nothing to do with the subject. Confirmed by the experimental data, the great enhancement of system precision can be obtained by small sacrifice of recall rate while using correlation judgment module.