0438818 20240111140857.920150121235959.9 84957649694 000357813200041 10.1109/IWAENC.2014.6954006 5 s. C cav_un_epca*0438817978-1-4799-6808-4198-202USAIEEE2014 echo cancellation relative transfer functions blind source separation cav_un_auth*0108100 Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Koldovský Zbyněk UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0050739 Málek J. CZ cav_un_auth*0080999 Muller M. CZ cav_un_auth*0101212 Stochastická informatika Department of Stochastic Informatics SI SI Department of Stochastic Informatics Tichavský Petr UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2014/SI/tichavsky-0438818.pdf 142kB cav_un_auth*0303518 GA14-11898S GA ČR CZ The estimation of a filter that determines an echo path is a difficult problem when double-talk is present. We use a Blind Source Separation model based on signals’ nonstationarity with a partially known mixing matrix to estimate the filter during the double talk. A second-order approximation of a log-likelihood function is used to derive a quadratic criterion. Then, we propose two methods to estimate the filter through minimizing the criterion. The first method works in a batch-offline regime, while the second method is designed to estimate the filter adaptively. The methods are verified by experiments and compared with standard least-squares-based approaches. cav_un_auth*0312396 2014 14th International Workshop on Acoustic Signal Enhancement 08.09.2014-11.09.2014 Antibes – Juan les Pins FR BI 2015 4 PO RVO:67985556 http://hdl.handle.net/11104/0243060 S 2014 84957649694 SCOPUS 000357813200041 WOS 142kB cav_un_epca*0438817 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC) 978-1-4799-6808-4 198 202 USA IEEE 2014