Audio noise suppression based on neuromorphic saliency and phoneme adaptive filtering
David V. Anderson Rongqiang Hu · 2005
An acoustic noise suppression algorithm is described that uses perceptually inspired signal detection techniques to estimate the presence of speech cues in the presence of low SNRs. The signal detector generates frequency-dependent soft-decisions that are used in determining speech presence and in controlling parameters for the speech enhancement gains. With the input of speech segmentation, a phoneme adaptive mechanism is introduced to enhance speech by moderate state-dependent filtering.