Method for detecting and removing transient noise, audio device, and storage medium

A method and apparatus for detecting and removing transient noise in an audio signal, in particular an audio signal containing speech by one or more of the following, determining a plurality of sound labels associated with the audio signal using an SED (Sound Event Detection) module, wherein the SED module comprises a machine learning model configured to divide the audio signal into a number of SED time windows, determining, one or more sound labels associated with each of the number of SED time windows, wherein the one or more sound labels are chosen from a predefined set of sound labels, detecting, based on the plurality of determined sound labels, transient noise in the audio signal, and removing, based on the detected transient noise, transient noise from the audio signal to generate a denoised signal.