0447198 20240111140907.220150925235959.9 000363785500026 84944698688 10.1007/978-3-319-22482-4_4 8 s. C cav_un_epca*0447195978-3-319-22482-40302-9743227-234HeidelbergSpringer2015VincentEmmanuelYeredorArieKoldovskýZbyněkTichavskýPetr Audio signal processing Relative transfer function Compressed sensing Second-order cone programming cav_un_auth*0108100 Koldovský Zbyněk Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0050739 Málek J. CZ cav_un_auth*0101212 Tichavský Petr Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2015/SI/tichavsky-0447198.pdf 335 kB GA14-11898S GA ČR CZ cav_un_auth*0303518 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. cav_un_auth*0319419 Latent Variable Analysis and Signal Separation 12th International Conference, LVA/ICA 2015 Liberec 25.08.2015-28.08.2015 CZ 2016 BI 3 PR RVO:67985556 http://hdl.handle.net/11104/0249579 S 0.329 Q2 Q2 2015 84944698688 SCOPUS 000363785500026 WOS 335 kB 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 Vincent Emmanuel 340 Yeredor Arie 340 Koldovský Zbyněk 340 Tichavský Petr 340