DSpace Repository

Complex Newton algorithm for blind signal extraction of speech in diffuse noise

Show simple item record

dc.contributor.author Even Jani en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.contributor.author Tomoya Takatani en
dc.date.accessioned 2012-08-22T07:58:51Z en
dc.date.available 2012-08-22T07:58:51Z en
dc.date.issued 2010-03 en
dc.identifier.isbn 9781424442966 en
dc.identifier.issn 1520-6149 en
dc.identifier.uri http://hdl.handle.net/10061/8084 en
dc.description ICASPP2010: IEEE International Conference on Acoustics, Speech, and Signal Processing, March 14-19, 2010, Dallas, Texas, USA. en
dc.description.abstract Several recent methods for speech enhancement in presence of diffuse background noise use frequency domain blind signal separation to estimate the diffuse noise and a nonlinear post filter to suppress this estimated noise. This paper presents a frequency domain blind signal extraction method for estimating the diffuse noise in place of the frequency domain blind signal separation. The method is based on the minimization by means of a complex Newton algorithm of a cost function depending of the modulus of the extracted component. The proposed complex Newton method is compared to the gradient descent on the same cost function and to the blind signal separation approach. en
dc.language.iso en en
dc.publisher IEEE en
dc.rights Copyright 2010 IEEE en
dc.subject Blind signal extraction en
dc.subject speech enhancement en
dc.subject Newton method en
dc.title Complex Newton algorithm for blind signal extraction of speech in diffuse noise en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 213 en
dc.identifier.epage 216 en
dc.relation.doi 10.1109/ICASSP.2010.5496023 en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account