Independent Vector Analysis Exploiting Pre-Learned Banks of Relative Transfer Functions for Assumed Target’s Positions

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F18%3A00006131" target="_blank" >RIV/46747885:24220/18:00006131 - isvavai.cz</a>
Result on the web
<a href="https://asap.ite.tul.cz/wp-content/uploads/sites/3/2018/05/LVA2018SIVA.pdf" target="_blank" >https://asap.ite.tul.cz/wp-content/uploads/sites/3/2018/05/LVA2018SIVA.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-93764-9_26" target="_blank" >10.1007/978-3-319-93764-9_26</a>

Result language
angličtina
Original language name
Independent Vector Analysis Exploiting Pre-Learned Banks of Relative Transfer Functions for Assumed Target’s Positions
Original language description
On-line frequency-domain blind separation of audio sources performed through Independent Vector Analysis (IVA) suffers from the problem of determining the order of the separated outputs. In this work,we apply a supervised IVA based on pilot components obtained using a bank of Relative Transfer Functions (RTF). The bank is assumed to be available for potential positions of a target speaker within a confined area. In every frame, the most suitable RTF is selected from the bank based on a criterion. The pilot components are obtained as pre-separated target and interference, respectively, through the Minimum-Power Distortionless Beamforming and Null Beamforming. The supervised IVA is tested in a real-world scenario with various levels of up-to-dateness of the bank. We show that the global permutation problem is resolved even when the bank contains only pure delay filters. The Signal-to-Interference Ratio in separated signals is mostly better than that achieved by the pre-separation, unless the bank contains very precise RTFs.
Czech name
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Czech description
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Project
<a href="/en/project/GA17-00902S" target="_blank" >GA17-00902S: Advanded Joint Blind Source Separation Methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - The 14th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2018)
ISBN
9783319937632
ISSN
03029743
e-ISSN
—
Number of pages
10
Pages from-to
270-279
Publisher name
—
Place of publication
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Event location
Guildford, UK
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

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