Design of a big data integration system for physical fitness training development based on speech recognition technology

Abstract

Physical fitness training development research needs a large amount of data support, and the current data integration system uses the global view to extract data sequentially, which has the problems of too slow loading data and low query efficiency. Design a big data integration system for physical fitness training development based on speech recognition technology. Using FPGA as the carrier, design the speech recognition control module, storage communication module and speech input judgment module. Based on the hardware part of the system, the recognition signal is processed using speech recognition technology. By establishing global ontology mapping relationship, the integration of big data of physical training development is realized. The system functional test results show that the designed system has its minimum query efficiency improved by about 52.6%, and has higher loading efficiency and better processing capability..