Research on Embedded Speech Recognition System Based on Artificial Intelligence

Aiming at the problems of large space occupation, high power consumption, and low recognition accuracy of current speech recognition systems, an embedded speech recognition system based on artificial intelligence is studied. The hardware part of the system is designed with an SPCE061A single-chip microcomputer as the core, and the software part of language recognition is designed on the system hardware architecture. By collecting and filtering the features of voice samples, a classifier template for voice recognition is established. After improving the naive Bayes model in artificial intelligence, the model is used to complete language recognition processing. The system test results show that the language recognition accuracy rate of the studied system is higher than 95%, the hardware resource consumption is low, and it has good performance.