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 ...»»»»
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 and has a great amount of applications. Almost all its formulations
derived in the two-dimensional framework are easily reformulated to be
adapted to one-dimensional context^^^^
Tipus:
Capítol o part de llibre
Drets:
(c) Universitat de Vic
Tots els drets reservats
Citació Bibliogràfica:
P. Martí-Puig, J. Solé-Casals, R. Reig-Bolaño, "Improving Pitch Tracking Performance in Hard Noise Conditions by a Preprocessing Based on Mathematical Morphology", Workshop on Non-linear Speech Processing - NOLISP, Vic (Spain), 2009.