Borderless Fusion Financial Management Innovation Based on Speech Recognition Technology

Abstract

In recent years, the rapid development of information technology has affected the operation of the world economy, and the emergence of e-commerce has decreased significantly. The development of modern information technology, especially the development of Internet technology, provides a solid foundation for e-commerce. The time and space gap between economic operators is shortened, and resources are shared as widely as possible. Based on a comprehensive and in-depth study of language recognition technology. However, the current e-commerce financial management still uses the traditional accounting method, which is inefficient and cannot be integrated with new technologies. This paper proposes a design scheme for a nonspecific person and small vocabulary language recognition system based on SPCE061A processor. This integrated system can be combined with data acquisition and language input technology and constitute a data acquisition and input system. It is used for data collection and input of instruments and meters in the workplace to improve work efficiency. This paper proposes algorithms based on time-domain energy and zero-crossing rate detection, detection based on entropy function method, and detection based on the double-threshold method. The speech recognition technology is analyzed in detail, and a new model of financial management is constructed. Accounting information disclosure is a virtuous circle of “promoting capital management with appropriate decentralization.” The experimental results in this paper show that through model construction, the calculated WER is 0 dm, 7 dm, 15 dm, and 11 dm, respectively, and it is concluded that the system exhibits good antinoise performance.