Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Tomáš Kounovský"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-16 (2022)
Abstract In this paper, we propose a novel algorithm for blind source extraction (BSE) of a moving acoustic source recorded by multiple microphones. The algorithm is based on independent vector extraction (IVE) where the contrast function is optimize
Externí odkaz:
https://doaj.org/article/a4ef5ec949904b4aa342331dd6f805ad
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-16 (2022)
In this paper, we propose a novel algorithm for blind source extraction (BSE) of a moving acoustic source recorded by multiple microphones. The algorithm is based on independent vector extraction (IVE) where the contrast function is optimized using t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f752714ddb5689c5f4bc1de9e9eaeac7
http://arxiv.org/abs/2002.12619
http://arxiv.org/abs/2002.12619
Publikováno v:
Latent Variable Analysis and Signal Separation ISBN: 9783319937632
LVA/ICA
LVA/ICA
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 componen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b568dd24564bcf7b072907b9bea27fa
https://doi.org/10.1007/978-3-319-93764-9_26
https://doi.org/10.1007/978-3-319-93764-9_26