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

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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.accesRights info:eu-repo/semantics/closedAccess ca_ES

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