Aiming at the problem that the recognition rate of microphone system decreases in noisy environment,a speech recognition system based on dual-sensor feature fusion is proposed.The STM32 single-chip microcomputer is used to simultaneously collect the skin vibration voice information and the microphone voice information of the speaker and send them to the host computer through WiFi.The MFCC parameters of the two-way voice feature are fused and combined with the hidden Markov model for isolated word recognition research.The experiment results show that compared with the single microphone speech recognition system,this system has higher recognition rate,stronger anti-noise ability and better robustness in quiet and noisy environments.
Key words
STM32 /
microphone speech /
hidden Markov model /
isolated word recognition /
ESP8266
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