A bioinspired spectro-temporal domain for sound denoising

The representation of sound signals at the cochlea and au- ditory cortical level has been studied as an alternative to classical anal- ysis methods. In this work, we put forward a recently proposed feature extraction method called approximate auditory cortical representation, based on an approximati...

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Detalles Bibliográficos
Autores principales:	Martínez, César E., Goddard, J., Di Persia, L., Milone, Diego H., Rufiner, Hugo Leonardo
Formato:	Objeto de conferencia
Lenguaje:	Español
Publicado:	2016
Materias:	Ciencias Informáticas approximate auditory cortical representation
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/57027 http://45jaiio.sadio.org.ar/sites/default/files/ASAI-22_0.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-57027
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Español
topic	Ciencias Informáticas approximate auditory cortical representation
spellingShingle	Ciencias Informáticas approximate auditory cortical representation Martínez, César E. Goddard, J. Di Persia, L. Milone, Diego H. Rufiner, Hugo Leonardo A bioinspired spectro-temporal domain for sound denoising
topic_facet	Ciencias Informáticas approximate auditory cortical representation
description	The representation of sound signals at the cochlea and au- ditory cortical level has been studied as an alternative to classical anal- ysis methods. In this work, we put forward a recently proposed feature extraction method called approximate auditory cortical representation, based on an approximation to the statistics of discharge patterns at the primary auditory cortex. The approach here proposed estimates a non- negative sparse coding with a combined dictionary of atoms calculated from clean signal and noise. The denoising is carried out on noisy signals by the reconstruction of the signal discarding the atoms corresponding to the noise. Results on synthetic and real data show that the proposed method improves the quality of the signals, mainly under severe degra- dation. This communication corresponds to a journal paper published in 2015 in DSP (Elsevier).
format	Objeto de conferencia Objeto de conferencia
author	Martínez, César E. Goddard, J. Di Persia, L. Milone, Diego H. Rufiner, Hugo Leonardo
author_facet	Martínez, César E. Goddard, J. Di Persia, L. Milone, Diego H. Rufiner, Hugo Leonardo
author_sort	Martínez, César E.
title	A bioinspired spectro-temporal domain for sound denoising
title_short	A bioinspired spectro-temporal domain for sound denoising
title_full	A bioinspired spectro-temporal domain for sound denoising
title_fullStr	A bioinspired spectro-temporal domain for sound denoising
title_full_unstemmed	A bioinspired spectro-temporal domain for sound denoising
title_sort	bioinspired spectro-temporal domain for sound denoising
publishDate	2016
url	http://sedici.unlp.edu.ar/handle/10915/57027 http://45jaiio.sadio.org.ar/sites/default/files/ASAI-22_0.pdf
work_keys_str_mv	AT martinezcesare abioinspiredspectrotemporaldomainforsounddenoising AT goddardj abioinspiredspectrotemporaldomainforsounddenoising AT dipersial abioinspiredspectrotemporaldomainforsounddenoising AT milonediegoh abioinspiredspectrotemporaldomainforsounddenoising AT rufinerhugoleonardo abioinspiredspectrotemporaldomainforsounddenoising AT martinezcesare bioinspiredspectrotemporaldomainforsounddenoising AT goddardj bioinspiredspectrotemporaldomainforsounddenoising AT dipersial bioinspiredspectrotemporaldomainforsounddenoising AT milonediegoh bioinspiredspectrotemporaldomainforsounddenoising AT rufinerhugoleonardo bioinspiredspectrotemporaldomainforsounddenoising
bdutipo_str	Repositorios
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A bioinspired spectro-temporal domain for sound denoising

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