Improving Pitch Tracking Performance in Hard Noise Conditions by a Preprocessing Based on Mathematical Morphology

摘要

In this paper we show how a nonlinear preprocessing of speechsignal -with high noise- based on morphological filters improves theperformance of robust algorithms for pitch tracking (RAPT). This resulthappens for a very simple morphological filter. More sophisticated ones couldeven improve such results. Mathematical morphology is widely used in imageprocessing and has a great amount of applications. Almost all its formulationsderived in the two-dimensional framework are easily reformulated to beadapted to one-dimensional context