Fast reconstruction of sparse relative impulse responses via second-order cone programming
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124131" target="_blank" >RIV/00216305:26220/17:PU124131 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/WASPAA.2017.8170056" target="_blank" >http://dx.doi.org/10.1109/WASPAA.2017.8170056</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/WASPAA.2017.8170056" target="_blank" >10.1109/WASPAA.2017.8170056</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fast reconstruction of sparse relative impulse responses via second-order cone programming
Popis výsledku v původním jazyce
The paper addresses the estimation of the relative transfer function (RTF) using incomplete information. For example, an RTF estimate might be recognized as too inaccurate in a number of frequency bins. When these values are dropped, an incomplete RTF is obtained. The goal is then to reconstruct a complete RTF estimate, based on (1) the remaining values, and (2) the sparsity of the relative impulse response, which is the time-domain counterpart of the RTF. We propose two fast algorithms for the RTF reconstruction that solve a second-order cone program (SOCP), and show their advantages over the LASSO formulation previously proposed in the literature. Simulations with speech signals show that in terms of speed and accuracy, the proposed algorithms are comparable with the LASSO solution and considerably faster compared to the generic ECOS solver. The new algorithms are, moreover, easier to control through their parameters, which brings their improved stability when the number of reliable frequency bins is very low (less than 10%).
Název v anglickém jazyce
Fast reconstruction of sparse relative impulse responses via second-order cone programming
Popis výsledku anglicky
The paper addresses the estimation of the relative transfer function (RTF) using incomplete information. For example, an RTF estimate might be recognized as too inaccurate in a number of frequency bins. When these values are dropped, an incomplete RTF is obtained. The goal is then to reconstruct a complete RTF estimate, based on (1) the remaining values, and (2) the sparsity of the relative impulse response, which is the time-domain counterpart of the RTF. We propose two fast algorithms for the RTF reconstruction that solve a second-order cone program (SOCP), and show their advantages over the LASSO formulation previously proposed in the literature. Simulations with speech signals show that in terms of speed and accuracy, the proposed algorithms are comparable with the LASSO solution and considerably faster compared to the generic ECOS solver. The new algorithms are, moreover, easier to control through their parameters, which brings their improved stability when the number of reliable frequency bins is very low (less than 10%).
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 2017 Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
ISBN
978-1-5386-1631-4
ISSN
—
e-ISSN
—
Počet stran výsledku
5
Strana od-do
364-368
Název nakladatele
Institute of Electrical and Electronics Engineers Inc.
Místo vydání
Neuveden
Místo konání akce
New Paltz
Datum konání akce
15. 10. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000426939000074