Human-machine interface design method of intelligent industrial products based on speech recognition technology

Fei Li
Department of Arts and Design, Hefei University, Hefei, China, 230601

Abstract:

Because the human-computer interface of traditional intelligent industrial products can't process the voice interaction signal, it has the problems of low interaction efficiency and high interaction cost. Therefore, a human-computer interface design method of intelligent industrial products based on speech recognition technology is proposed. From three aspects of speech input, speech processing and speech output, speech recognition equipment is designed and installed. The hardware equipment is used to collect the voice interaction signal of human-computer interface, and the initial signal is preprocessed by pre-emphasis, endpoint detection and other steps. The feature of speech signal is extracted and the result of speech recognition is output by feature matching. The result of speech recognition is used as input to realize the human-computer interaction of intelligent industrial products. Through the interactive function test, the conclusion is drawn: compared with the traditional human-computer interface design method of intelligent industrial products, the design method has higher interactive efficiency, and has more advantages in communication and occupied space.