Monaural voiced speech segregation based on pitch and comb filter
Xueliang Zhang, Wenju Liu · 2011
The correlogram is an important mid-level representation for periodic sounds which is widely used in sound source separation and pitch detection. However, it is very time consuming. In this paper, we presented a novel scheme for monaural voiced speech separation without computing correlograms. The noisy speech is firstly decomposing into time-frequency units. Pitch contour of the target speech is extracted according to the zero crossing rate of the units. Then we applied a comb filter to label each unit as target speech or intrusion. Compared with previous correlogrambased method, the proposed algorithm saves computing time and also yields better performance. Index Terms—Sound separation, Computational auditory scene analysis, Correlogram