2results about How to "Good noise robustness" patented technology

This invention discloses a method and system for optimizing speech recognition under noise based on ultrasonic micro-motion detection. The method includes the following steps: an ultrasonic transmitting module continuously transmits ultrasonic signals; an ultrasonic receiving module continuously receives ultrasonic signals; the received ultrasonic signals are preprocessed to obtain the difference frequency signal of the reflected wave from the moving object; based on the obtained difference frequency signal, whether there is micro-motion within a specific distance is detected; if there is micro-motion, speech is output; otherwise, no speech is output. In this invention, the presence or absence of target speech is indicated by detecting lip micro-movements, which has good noise robustness. It utilizes the built-in speaker and microphone of a smart device to transmit and receive ultrasonic waves to detect lip micro-movements, requiring no additional cost, and has high accuracy and strong practicality, making it suitable for industrial-scale application.

The present application belongs to the technical field of medical image processing and artificial intelligence, and particularly relates to a frequency domain enhanced in-situ biological hyperspectral feature extraction and classification method. By fusing the adaptive spatial-frequency feature extraction capability of fractional Fourier transform and the local-global spectral attention mechanism, the medical hyperspectral image can be deeply featured and efficiently classified, and the rapid and accurate diagnosis of early pathological lesions can be realized. The method is particularly suitable for real-time analysis of complex non-stationary pathological signals and multi-scale spectral-spatial information in a clinical environment, and provides accurate lesion classification and diagnosis assistance for doctors.