The invention relates to the technical field of intelligent communication, in particular to an AI (
Artificial Intelligence)-based communication voice
noise reduction method, which comprises the following steps of: 1, collecting
noise of multiple scenes, recording noisy voice through a
microphone array, and covering complex environments such as traffic, restaurants, meetings and the like; 2, constructing a dialect voice
database, adding a
noise mixing layer (such as sudden whistling and keyboard tapping) and a scene evolution layer, and simulating a real environment; according to the method, multi-scene noise is collected, noisy voice is recorded through a
microphone array, a dialect voice
database is constructed, a noise mixing layer is added, voice features of different dialects in a complex environment are simulated, a
deep learning model is deployed on edge equipment, and low-
delay noise reduction is achieved through real-
time processing.
Mechanical noise, aerodynamic noise and external environment noise are distinguished through the
dynamic noise recognition module, the
noise reduction intensity is adjusted to adapt to scenes such as elevators, meeting rooms and vehicles, and therefore the method can adjust the
noise reduction intensity in a self-adaptive mode.