Mathematical Morphology Preprocessing to Mitigate AWGN Effects: Improving Pitch Tracking Performance in Hard Noise Conditions

Martí i Puig, Pere; Solé-Casals, Jordi; Reig Bolaño, Ramon; Zaiats, Vladimir

Inici
→
Recerca
→
Articles, congressos, llibres
→
Documents de Congressos
→
Visualitza el document

dc.contributor	Universitat de Vic. Escola Politècnica Superior
dc.contributor	Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor	International Conference on Non-Linear Speech Processing NOLISP (2009 : Vic)
dc.contributor.author	Martí i Puig, Pere
dc.contributor.author	Solé-Casals, Jordi
dc.contributor.author	Reig Bolaño, Ramon
dc.contributor.author	Zaiats, Vladimir
dc.date.accessioned	2013-01-16T12:32:46Z
dc.date.available	2013-01-16T12:32:46Z
dc.date.created	2010
dc.date.issued	2010
dc.identifier.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	ca_ES
dc.identifier.isbn	9783642115080
dc.identifier.uri	http://hdl.handle.net/10854/1986
dc.description.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 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.	ca_ES
dc.format	application/pdf
dc.format.extent	7 p.	ca_ES
dc.language.iso	eng	ca_ES
dc.publisher	Springer	ca_ES
dc.rights	(c) Springer (The original publication is available at www.springerlink.com)
dc.rights	Tots els drets reservats	ca_ES
dc.subject.other	Processament de la parla	ca_ES
dc.title	Mathematical Morphology Preprocessing to Mitigate AWGN Effects: Improving Pitch Tracking Performance in Hard Noise Conditions	ca_ES
dc.type	info:eu-repo/semantics/conferenceObject	ca_ES
dc.identifier.doi	https://doi.org/10.1007/978-3-642-11509-7_21
dc.rights.accessRights	info:eu-repo/semantics/closedAccess	ca_ES