A noise detection method carried out by a processing device , the method comprising: obtaining an audio signal; comparing the audio signal with a wave of a noise model to obtain a correlation value; and identifying whether the audio signal is a candidate noise signal based on the correlation value, wherein comparing the audio signal with a wave of a noise model to obtain a correlation value comprises: convoluting the audio signal with the wave of the noise model to obtain the correlation value, and wherein, if the audio signal is identified to be a candidate noise signal, the method further comprises: obtaining an exponential discharge index of the candidate noise signal; comparing the exponential discharge index with a second threshold value; and if the exponential discharge index is smaller than the second threshold value, identifying the candidate noise signal to be a noise signal; or otherwise, identifying the candidate noise signal not to be a noise signal, wherein obtaining an exponential discharge index of the candidate noise signal comprises: calculating derivative of the candidate noise signal to obtain a derivative function S ′ t = V ∗ − 1 τ ∗ e − t τ ; calculating logarithm of an absolute value of the derivative function to obtain a logarithm function LS t = log S ′ t = log V τ + − t τ .; and calculating derivative of the logarithm function LS' ( t ) = -1/ τ to obtain the exponential discharge index of the candidate noise signal. obtaining an audio signal; comparing the audio signal with a wave of a noise model to obtain a correlation value; and identifying whether the audio signal is a candidate noise signal based on the correlation value, wherein comparing the audio signal with a wave of a noise model to obtain a correlation value comprises: convoluting the audio signal with the wave of the noise model to obtain the correlation value, and wherein, if the audio signal is identified to be a candidate noise signal, the method further comprises: obtaining an exponential discharge index of the candidate noise signal; comparing the exponential discharge index with a second threshold value; and if the exponential discharge index is smaller than the second threshold value, identifying the candidate noise signal to be a noise signal; or otherwise, identifying the candidate noise signal not to be a noise signal, obtaining an exponential discharge index of the candidate noise signal; comparing the exponential discharge index with a second threshold value; and if the exponential discharge index is smaller than the second threshold value, identifying the candidate noise signal to be a noise signal; or otherwise, identifying the candidate noise signal not to be a noise signal, wherein obtaining an exponential discharge index of the candidate noise signal comprises: calculating derivative of the candidate noise signal to obtain a derivative function S ′ t = V ∗ − 1 τ ∗ e − t τ ; calculating logarithm of an absolute value of the derivative function to obtain a logarithm function LS t = log S ′ t = log V τ + − t τ .; and calculating derivative of the logarithm function LS' ( t ) = -1/ τ to obtain the exponential discharge index of the candidate noise signal. <EOS>