| DSP – I |
A noise probability distribution model is adapted based on the similarity of current short-term statistics to the initial noise model in a logarithmic spectrum domain and used to suppress the audio noise in the spectrum domain [1]. |
| DSP – II |
Similar to DSP – I, but the noise estimation is done in mel-spectrum (auditory spectrum) domain. |
| VB – I |
Boost vocals and similar sounds while reducing noise. |
| SE – I |
A deep neural network speech enhancement model, trained to separate speech from background noise. |