Abstract
Abstract. In this paper we show how a nonlinear preprocessing of speech signal
-with high noise- based on morphological filters improves the performance
of robust algorithms for pitch tracking (RAPT). This result happens for a very
simple morphological filter. More sophisticated ones could even improve such
results. Mathematical ...»»»»
Abstract. In this paper we show how a nonlinear preprocessing of speech signal
-with high noise- based on morphological filters improves the performance
of robust algorithms for pitch tracking (RAPT). This result happens for a very
simple morphological filter. More sophisticated ones could even improve such
results. Mathematical morphology is widely used in image processing in where
it has found a great amount of applications. Almost all its formulations derived
in the two-dimensional framework are easily reformulated to be adapted to onedimensional
context.^^^^
Citation:
MARTI PUIG, Pere i altres. "Mathematical Morphology Preprocessing to Mitigate AWGN Effects: Improving Pitch Tracking Performance in Hard Noise Conditions". A: International conference on non-linear speech processing. "Advances in nonlinear speech processing : international conference on nonlinear speech processing, NOLISP 2009 : Vic, Spain, June 25-27, 2009 : revised selected papers". Vic: Springer, 2009, p. 163-170