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 |
|
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 |
|
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 |
|