I'm trying to do some example elementary denoising of the audio signal. Let's say input is speech with constant traffic background noise.
- First I calculated block-based overlap-add Fourier transform (size 512) and continued in the frequency domain with the signal
- Then I used minimum statistics method to estimate the noise in the frequency domain
- Lastly I calculated the
gain[n]as signal-to-noise ratio
Now that I have
gain[n], how should I continue in order to filter the signal and go back to the time domain?