Abstract
Digital sensors use biotechnology and information processing technology to strengthen the processing of relevant visual and auditory information, which is helpful to ensure that the receiver can obtain more accurate information, so as to improve the learning effect and reduce the impact on the environment. This paper designs an experiment to explore the role of digital sensors in language audio‐visual teaching, which provides a reference for the application of digital sensors in the future. The impulse response function in sensor technology is introduced. The speech time domain envelope and time‐varying mouth area of the sensor device are calculated. The auditory attention transfer detection based on line of sight rotation estimation is carried out through the auditory attention decoding fusion technology and the sensor auditory attention conversion detection method. At the same time, the characteristic of sensor heog signal is analyzed. The results show that the algorithm proposed in this paper has good results.
Highlights
With the development of society, the research on image processing, pattern recognition, image and video compression, biometric recognition and information security, threedimensional visual information processing, and intelligent human-computer interaction in the field of machine vision is gradually increasing
Many scholars have carried out artificial neural network and machine learning and carried out computational intelligence research in the field of intelligent information system
Digital sensor technology can strengthen information, so digital sensor began to appear in language audio-visual and oral teaching
Summary
With the development of society, the research on image processing, pattern recognition, image and video compression, biometric recognition and information security, threedimensional visual information processing, and intelligent human-computer interaction in the field of machine vision is gradually increasing. Visual auditory processing is widely used in the field of machine hearing. Machine auditory computing model and speech language information processing system are widely used. Many scholars have carried out artificial neural network and machine learning and carried out computational intelligence research in the field of intelligent information system. Research on neural computing model and physiological and psychological basis of vision and hearing mainly explores the perception mechanism of vision and hearing from the perspective of physiology and psychology, so as to provide basic theories and methods for visual and auditory information processing. Vision and hearing are important perceptual systems that people rely on in verbal communication. Digital sensor equipment plays a better role in language audio-visual and oral teaching. Students using digital sensor equipment can learn better, so as to greatly improve the teaching effect
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
