bibtype C - Conference Paper (international conference)
ARLID 0447198
utime 20240111140907.2
mtime 20150925235959.9
WOS 000363785500026
SCOPUS 84944698688
DOI 10.1007/978-3-319-22482-4_4
title (primary) (eng) Improving Relative Transfer Function Estimates Using Second-Order Cone Programming
specification
page_count 8 s.
media_type C
serial
ARLID cav_un_epca*0447195
ISBN 978-3-319-22482-4
ISSN 0302-9743
title Latent Variable Analysis and Signal Separation
page_num 227-234
publisher
place Heidelberg
name Springer
year 2015
editor
name1 Vincent
name2 Emmanuel
editor
name1 Yeredor
name2 Arie
editor
name1 Koldovský
name2 Zbyněk
editor
name1 Tichavský
name2 Petr
keyword Audio signal processing
keyword Relative transfer function
keyword Compressed sensing
keyword Second-order cone programming
author (primary)
ARLID cav_un_auth*0108100
name1 Koldovský
name2 Zbyněk
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0050739
name1 Málek
name2 J.
country CZ
author
ARLID cav_un_auth*0101212
name1 Tichavský
name2 Petr
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
institution UTIA-B
full_dept Department of Stochastic Informatics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2015/SI/tichavsky-0447198.pdf
source_size 335 kB
cas_special
project
project_id GA14-11898S
agency GA ČR
country CZ
ARLID cav_un_auth*0303518
abstract (eng) This paper addresses the estimation of Relative Transfer Function (RTF) between microphones from noisy recordings. We utilize an incomplete initial measurement of the RTF, which is known for only several frequency bins. The measurement is completed by finding its sparsest representation in the time domain. We propose to perform this reconstruction by solving a Second-Order Cone Program (SOCP). Free parameters of this formulation represent distance of the completed RTF from the initial estimate. We select these parameters based on the theoretical performance of the initial estimate. In experiments with realworld data, this approach achieves a significant refinement of the RTF, especially in scenarios with low signal-to-noise ratios.
action
ARLID cav_un_auth*0319419
name Latent Variable Analysis and Signal Separation 12th International Conference, LVA/ICA 2015
place Liberec
dates 25.08.2015-28.08.2015
country CZ
reportyear 2016
RIV BI
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0249579
confidential S
mrcbT16-s 0.329
mrcbT16-4 Q2
mrcbT16-E Q2
arlyear 2015
mrcbU14 84944698688 SCOPUS
mrcbU34 000363785500026 WOS
mrcbU56 335 kB
mrcbU63 cav_un_epca*0447195 Latent Variable Analysis and Signal Separation 978-3-319-22482-4 0302-9743 227 234 Heidelberg Springer 2015 LNCS 9237 Lecture Notes in Computer Science
mrcbU67 Vincent Emmanuel 340
mrcbU67 Yeredor Arie 340
mrcbU67 Koldovský Zbyněk 340
mrcbU67 Tichavský Petr 340