Improving Relative Transfer Function Estimates Using Second-Order Cone Programming

0447198 - ÚTIA 2016 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Koldovský, Zbyněk - Málek, J. - Tichavský, Petr
Improving Relative Transfer Function Estimates Using Second-Order Cone Programming.
Latent Variable Analysis and Signal Separation. Heidelberg: Springer, 2015 - (Vincent, E.; Yeredor, A.; Koldovský, Z.; Tichavský, P.), s. 227-234. Lecture Notes in Computer Science. ISBN 978-3-319-22482-4. ISSN 0302-9743.
[Latent Variable Analysis and Signal Separation 12th International Conference, LVA/ICA 2015. Liberec (CZ), 25.08.2015-28.08.2015]
Grant ostatní: GA ČR(CZ) GA14-11898S
Institucionální podpora: RVO:67985556
Klíčová slova: Audio signal processing * Relative transfer function * Compressed sensing * Second-order cone programming
Kód oboru RIV: BI - Akustika a kmity
http://library.utia.cas.cz/separaty/2015/SI/tichavsky-0447198.pdf

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.
Trvalý link: http://hdl.handle.net/11104/0249579