The application discloses a
sound detection method and relates to the technical field of measuring electric variables; the method comprises the following steps: S1, audio signals are segmented by using a sliding wake-up time window, and multi-channel
root mean square values are calculated; when the multi-channel
root mean square values are greater than a preset wake-up threshold, it is determined that wake-up is triggered; S2, the audio signals are segmented by using a sliding
interaction time window to obtain audio segments of each channel; each
audio segment is further divided to obtain multiple equal-length sub-segments; single-channel
root mean square values are calculated; when the single-channel root
mean square values are greater than an activation threshold, it is determined that there is an effective
signal in the sub-segments; the wake-up detection in step S1 and the formation of a lightweight
signal processing method in step S2 take into account real-time performance and deployment cost, and the efficiency of recognizing touch sequences based on a
microphone array is improved; in step S2, the multiple equal-length sub-segments are further divided, the single-channel root
mean square values of the sub-segments are compared with the activation threshold, and the recognition accuracy is improved.