Noise estimation with an inverse comb filter in non-stationary noise environments

We propose a new noise estimation method using only the current frame of noisy speech. The proposed method utilizes an inverse comb filter for noisy speech to suppress the power of speech, and estimates the noise from the resulting spectrum. It is shown by experiments that the spectral subtraction combined with the proposed noise estimation method is superior to the conventional speech enhancement methods in non-stationary noise environments.