Matches in SemOpenAlex for { <https://semopenalex.org/work/W1785818924> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W1785818924 endingPage "599" @default.
- W1785818924 startingPage "581" @default.
- W1785818924 abstract "Conventional Blind Source Separation (BSS) algorithms separate the sources assuming the number of sources equals to that of observations. BSS algorithms have been developed based on an assumption that all sources have non-Gaussian distributions. Most of the instances, these algorithms separate speech signals with super-Gaussian distributions. However, in real world examples there exist speech signals which are sub-Gaussian. In this paper, a novel method is proposed to measure the separation qualities of both super-Gaussian and sub-Gaussian distributions. This study measures the impact of the Probability Distribution Function (PDF) of the signals on the outcomes of both sub and super-Gaussian distributions. This paper also reports the study of impact of mixing environment on the source separation. Simulation improves the results of the separated sources by 7 dB to 8 dB, and also confirms that the separated sources always have super-Gaussian characteristics irrespective of PDF of the signa ls or mixtures." @default.
- W1785818924 created "2016-06-24" @default.
- W1785818924 creator A5029523168 @default.
- W1785818924 date "2012-01-01" @default.
- W1785818924 modified "2023-10-16" @default.
- W1785818924 title "Measure of Quality of Source Separation for Sub- and Super-Gaussian Audio Mixtures" @default.
- W1785818924 cites W1510095622 @default.
- W1785818924 cites W1514159701 @default.
- W1785818924 cites W1547152798 @default.
- W1785818924 cites W1548802052 @default.
- W1785818924 cites W1820098823 @default.
- W1785818924 cites W1847898631 @default.
- W1785818924 cites W1983821361 @default.
- W1785818924 cites W1997260622 @default.
- W1785818924 cites W2003499122 @default.
- W1785818924 cites W2019502123 @default.
- W1785818924 cites W2046134527 @default.
- W1785818924 cites W2056211671 @default.
- W1785818924 cites W2086726221 @default.
- W1785818924 cites W2087288261 @default.
- W1785818924 cites W2087660979 @default.
- W1785818924 cites W2091150634 @default.
- W1785818924 cites W2102724320 @default.
- W1785818924 cites W2104316038 @default.
- W1785818924 cites W2108384452 @default.
- W1785818924 cites W2110882038 @default.
- W1785818924 cites W2119647652 @default.
- W1785818924 cites W2125550523 @default.
- W1785818924 cites W2129356552 @default.
- W1785818924 cites W2134807719 @default.
- W1785818924 cites W2135468625 @default.
- W1785818924 cites W2137234026 @default.
- W1785818924 cites W2141224535 @default.
- W1785818924 cites W2142638745 @default.
- W1785818924 cites W2142975003 @default.
- W1785818924 cites W2143524307 @default.
- W1785818924 cites W2149224850 @default.
- W1785818924 cites W2153302588 @default.
- W1785818924 cites W2155355606 @default.
- W1785818924 cites W2156338273 @default.
- W1785818924 cites W2161566590 @default.
- W1785818924 cites W2161896134 @default.
- W1785818924 cites W2159224462 @default.
- W1785818924 doi "https://doi.org/10.15388/informatica.2012.376" @default.
- W1785818924 hasPublicationYear "2012" @default.
- W1785818924 type Work @default.
- W1785818924 sameAs 1785818924 @default.
- W1785818924 citedByCount "12" @default.
- W1785818924 countsByYear W17858189242015 @default.
- W1785818924 countsByYear W17858189242016 @default.
- W1785818924 countsByYear W17858189242017 @default.
- W1785818924 countsByYear W17858189242019 @default.
- W1785818924 countsByYear W17858189242021 @default.
- W1785818924 crossrefType "journal-article" @default.
- W1785818924 hasAuthorship W1785818924A5029523168 @default.
- W1785818924 hasBestOaLocation W17858189241 @default.
- W1785818924 hasConcept C119857082 @default.
- W1785818924 hasConcept C121332964 @default.
- W1785818924 hasConcept C124101348 @default.
- W1785818924 hasConcept C163716315 @default.
- W1785818924 hasConcept C2776061190 @default.
- W1785818924 hasConcept C2776864781 @default.
- W1785818924 hasConcept C2779530757 @default.
- W1785818924 hasConcept C2780009758 @default.
- W1785818924 hasConcept C28490314 @default.
- W1785818924 hasConcept C41008148 @default.
- W1785818924 hasConcept C62520636 @default.
- W1785818924 hasConceptScore W1785818924C119857082 @default.
- W1785818924 hasConceptScore W1785818924C121332964 @default.
- W1785818924 hasConceptScore W1785818924C124101348 @default.
- W1785818924 hasConceptScore W1785818924C163716315 @default.
- W1785818924 hasConceptScore W1785818924C2776061190 @default.
- W1785818924 hasConceptScore W1785818924C2776864781 @default.
- W1785818924 hasConceptScore W1785818924C2779530757 @default.
- W1785818924 hasConceptScore W1785818924C2780009758 @default.
- W1785818924 hasConceptScore W1785818924C28490314 @default.
- W1785818924 hasConceptScore W1785818924C41008148 @default.
- W1785818924 hasConceptScore W1785818924C62520636 @default.
- W1785818924 hasIssue "4" @default.
- W1785818924 hasLocation W17858189241 @default.
- W1785818924 hasOpenAccess W1785818924 @default.
- W1785818924 hasPrimaryLocation W17858189241 @default.
- W1785818924 hasRelatedWork W1971274066 @default.
- W1785818924 hasRelatedWork W2378679409 @default.
- W1785818924 hasRelatedWork W2778699561 @default.
- W1785818924 hasRelatedWork W2951333117 @default.
- W1785818924 hasRelatedWork W2952469878 @default.
- W1785818924 hasRelatedWork W2991037759 @default.
- W1785818924 hasRelatedWork W2997987128 @default.
- W1785818924 hasRelatedWork W3015225820 @default.
- W1785818924 hasRelatedWork W3016066622 @default.
- W1785818924 hasRelatedWork W3122013905 @default.
- W1785818924 hasVolume "23" @default.
- W1785818924 isParatext "false" @default.
- W1785818924 isRetracted "false" @default.
- W1785818924 magId "1785818924" @default.
- W1785818924 workType "article" @default.