| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0376328 |
| utime |
20240111140815.7 |
| mtime |
20120911235959.9 |
| DOI |
10.1007/978-3-642-28551-6_57 |
| title
(primary) (eng) |
Semi-blind Source Separation Based on ICA and Overlapped Speech Detection |
| specification |
| page_count |
8 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0376325 |
| ISBN |
978-3-642-28550-9 |
| title
|
Latent Variable Analysis and Signal Separation |
| page_num |
462-469 |
| publisher |
| place |
Heidelberg |
| name |
Springer |
| year |
2012 |
|
| editor |
|
|
| keyword |
audio source separation |
| keyword |
cancellation filter |
| keyword |
independent component analysis |
| author
(primary) |
| ARLID |
cav_un_auth*0231631 |
| name1 |
Malek |
| name2 |
J. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0108100 |
| name1 |
Koldovský |
| name2 |
Zbyněk |
| 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. |
|
| 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 |
GAP103/11/1947 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0301478 |
|
| abstract
(eng) |
We propose a semi-blind method for separation of stereo recordings of several sources. The method begins with computation of a set of cancellation filters for potential fixed positions of the sources. These filters are computed from one-source-only intervals selected upon cross-talk detection. Each source in some of the fixed positions is canceled by the corresponding filter, by which the other sources are separated. The former source can be then separated by adaptive suppression of the separated sources. To select the appropriate cancellation filter, we use Independent Component Analysis. The performance of the proposed method is verified on real-world SiSEC data with two fixed and/or moving sources. |
| action |
| ARLID |
cav_un_auth*0280771 |
| name |
Latent Variable Analysis and Signal Separation,10th International Conference, LVA/ICA 2012 |
| place |
Tel Aviv |
| dates |
12.03.2012-15.03.2012 |
| country |
IL |
|
| reportyear |
2013 |
| RIV |
BB |
| num_of_auth |
3 |
| presentation_type |
PO |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0208758 |
| arlyear |
2012 |
| mrcbU56 |
224kB |
| mrcbU63 |
cav_un_epca*0376325 Latent Variable Analysis and Signal Separation 978-3-642-28550-9 462 469 Heidelberg Springer 2012 Lecture Notes on Computer Science 7191 |
| mrcbU67 |
Theis Fabian 340 |
|