Matches in SemOpenAlex for { <https://semopenalex.org/work/W2018205510> ?p ?o ?g. }
- W2018205510 endingPage "2531" @default.
- W2018205510 startingPage "2516" @default.
- W2018205510 abstract "This paper proposes a versatile technique for integrating two conventional speech enhancement approaches, a spatial clustering approach (SCA) and a factorial model approach (FMA), which are based on two different features of signals, namely spatial and spectral features, respectively. When used separately the conventional approaches simply identify time frequency (TF) bins that are dominated by interference for speech enhancement. Integration of the two approaches makes identification more reliable, and allows us to estimate speech spectra more accurately even in highly nonstationary interference environments. This paper also proposes extensions of the FMA for further elaboration of the proposed technique, including one that uses spectral models based on mel-frequency cepstral coefficients and another to cope with mismatches, such as channel mismatches, between captured signals and the spectral models. Experiments using simulated and real recordings show that the proposed technique can effectively improve audible speech quality and the automatic speech recognition score." @default.
- W2018205510 created "2016-06-24" @default.
- W2018205510 creator A5009309584 @default.
- W2018205510 creator A5021240106 @default.
- W2018205510 creator A5023868166 @default.
- W2018205510 creator A5032260110 @default.
- W2018205510 creator A5074161622 @default.
- W2018205510 date "2013-12-01" @default.
- W2018205510 modified "2023-10-16" @default.
- W2018205510 title "Dominance Based Integration of Spatial and Spectral Features for Speech Enhancement" @default.
- W2018205510 cites W1898225171 @default.
- W2018205510 cites W1967916528 @default.
- W2018205510 cites W1984196678 @default.
- W2018205510 cites W1987906574 @default.
- W2018205510 cites W1989954041 @default.
- W2018205510 cites W1991082011 @default.
- W2018205510 cites W1996837089 @default.
- W2018205510 cites W2000431869 @default.
- W2018205510 cites W2005733316 @default.
- W2018205510 cites W2029564985 @default.
- W2018205510 cites W2031583051 @default.
- W2018205510 cites W2043216213 @default.
- W2018205510 cites W2070707809 @default.
- W2018205510 cites W2097242476 @default.
- W2018205510 cites W21035339 @default.
- W2018205510 cites W2109258319 @default.
- W2018205510 cites W2111208321 @default.
- W2018205510 cites W2120608389 @default.
- W2018205510 cites W2126597753 @default.
- W2018205510 cites W2127671620 @default.
- W2018205510 cites W2130322773 @default.
- W2018205510 cites W2138889249 @default.
- W2018205510 cites W2146871184 @default.
- W2018205510 cites W2151046798 @default.
- W2018205510 cites W2152488273 @default.
- W2018205510 cites W2167152389 @default.
- W2018205510 cites W2396455701 @default.
- W2018205510 cites W3147539069 @default.
- W2018205510 cites W4205778870 @default.
- W2018205510 doi "https://doi.org/10.1109/tasl.2013.2277937" @default.
- W2018205510 hasPublicationYear "2013" @default.
- W2018205510 type Work @default.
- W2018205510 sameAs 2018205510 @default.
- W2018205510 citedByCount "27" @default.
- W2018205510 countsByYear W20182055102013 @default.
- W2018205510 countsByYear W20182055102014 @default.
- W2018205510 countsByYear W20182055102015 @default.
- W2018205510 countsByYear W20182055102016 @default.
- W2018205510 countsByYear W20182055102017 @default.
- W2018205510 countsByYear W20182055102018 @default.
- W2018205510 countsByYear W20182055102019 @default.
- W2018205510 countsByYear W20182055102020 @default.
- W2018205510 countsByYear W20182055102021 @default.
- W2018205510 crossrefType "journal-article" @default.
- W2018205510 hasAuthorship W2018205510A5009309584 @default.
- W2018205510 hasAuthorship W2018205510A5021240106 @default.
- W2018205510 hasAuthorship W2018205510A5023868166 @default.
- W2018205510 hasAuthorship W2018205510A5032260110 @default.
- W2018205510 hasAuthorship W2018205510A5074161622 @default.
- W2018205510 hasConcept C127162648 @default.
- W2018205510 hasConcept C151989614 @default.
- W2018205510 hasConcept C153180895 @default.
- W2018205510 hasConcept C154945302 @default.
- W2018205510 hasConcept C163294075 @default.
- W2018205510 hasConcept C2776182073 @default.
- W2018205510 hasConcept C28490314 @default.
- W2018205510 hasConcept C31258907 @default.
- W2018205510 hasConcept C32022120 @default.
- W2018205510 hasConcept C41008148 @default.
- W2018205510 hasConcept C52622490 @default.
- W2018205510 hasConcept C73555534 @default.
- W2018205510 hasConceptScore W2018205510C127162648 @default.
- W2018205510 hasConceptScore W2018205510C151989614 @default.
- W2018205510 hasConceptScore W2018205510C153180895 @default.
- W2018205510 hasConceptScore W2018205510C154945302 @default.
- W2018205510 hasConceptScore W2018205510C163294075 @default.
- W2018205510 hasConceptScore W2018205510C2776182073 @default.
- W2018205510 hasConceptScore W2018205510C28490314 @default.
- W2018205510 hasConceptScore W2018205510C31258907 @default.
- W2018205510 hasConceptScore W2018205510C32022120 @default.
- W2018205510 hasConceptScore W2018205510C41008148 @default.
- W2018205510 hasConceptScore W2018205510C52622490 @default.
- W2018205510 hasConceptScore W2018205510C73555534 @default.
- W2018205510 hasIssue "12" @default.
- W2018205510 hasLocation W20182055101 @default.
- W2018205510 hasOpenAccess W2018205510 @default.
- W2018205510 hasPrimaryLocation W20182055101 @default.
- W2018205510 hasRelatedWork W1614028504 @default.
- W2018205510 hasRelatedWork W2006051038 @default.
- W2018205510 hasRelatedWork W2077309595 @default.
- W2018205510 hasRelatedWork W2532372068 @default.
- W2018205510 hasRelatedWork W2553378168 @default.
- W2018205510 hasRelatedWork W2899192426 @default.
- W2018205510 hasRelatedWork W3211106305 @default.
- W2018205510 hasRelatedWork W818992662 @default.
- W2018205510 hasRelatedWork W2126882147 @default.
- W2018205510 hasRelatedWork W2578476982 @default.
- W2018205510 hasVolume "21" @default.