Matches in SemOpenAlex for { <https://semopenalex.org/work/W2800194619> ?p ?o ?g. }
- W2800194619 abstract "In this paper, we consider methods for improving far-field speech recognition using dereverberation based on sparse multi-channel linear prediction. In particular, we extend successful methods based on nonconvex iteratively reweighted least squares, that look for a sparse desired speech signal in the short-term Fourier transform domain, by proposing sparsity promoting convex functions. Furthermore, we show how to improve performance by applying regularization into both the reweighted least squares and convex methods. We evaluate the methods using large scale simulations by mimicking the application scenarios of interest. The experiments show that the proposed convex formulations and regularization offer improvements over existing methods with added robustness and flexibility in fairly different acoustic scenarios." @default.
- W2800194619 created "2018-05-17" @default.
- W2800194619 creator A5000691788 @default.
- W2800194619 creator A5074156299 @default.
- W2800194619 date "2018-04-01" @default.
- W2800194619 modified "2023-09-29" @default.
- W2800194619 title "Speech Dereverberation Based on Convex Optimization Algorithms for Group Sparse Linear Prediction" @default.
- W2800194619 cites W1409984952 @default.
- W2800194619 cites W1480376833 @default.
- W2800194619 cites W1494198834 @default.
- W2800194619 cites W1524333225 @default.
- W2800194619 cites W1969128975 @default.
- W2800194619 cites W1974858039 @default.
- W2800194619 cites W1983812858 @default.
- W2800194619 cites W1989314204 @default.
- W2800194619 cites W1995319862 @default.
- W2800194619 cites W2045079045 @default.
- W2800194619 cites W2083980057 @default.
- W2800194619 cites W2096819401 @default.
- W2800194619 cites W210359992 @default.
- W2800194619 cites W2103636088 @default.
- W2800194619 cites W2107861471 @default.
- W2800194619 cites W2119883478 @default.
- W2800194619 cites W2141637993 @default.
- W2800194619 cites W2146973938 @default.
- W2800194619 cites W2148552223 @default.
- W2800194619 cites W2164278908 @default.
- W2800194619 cites W2164502538 @default.
- W2800194619 cites W2175027794 @default.
- W2800194619 cites W2617258110 @default.
- W2800194619 cites W2622203030 @default.
- W2800194619 cites W2970850616 @default.
- W2800194619 cites W2065030431 @default.
- W2800194619 doi "https://doi.org/10.1109/icassp.2018.8462560" @default.
- W2800194619 hasPublicationYear "2018" @default.
- W2800194619 type Work @default.
- W2800194619 sameAs 2800194619 @default.
- W2800194619 citedByCount "8" @default.
- W2800194619 countsByYear W28001946192018 @default.
- W2800194619 countsByYear W28001946192019 @default.
- W2800194619 countsByYear W28001946192021 @default.
- W2800194619 crossrefType "proceedings-article" @default.
- W2800194619 hasAuthorship W2800194619A5000691788 @default.
- W2800194619 hasAuthorship W2800194619A5074156299 @default.
- W2800194619 hasBestOaLocation W28001946192 @default.
- W2800194619 hasConcept C104317684 @default.
- W2800194619 hasConcept C105795698 @default.
- W2800194619 hasConcept C112680207 @default.
- W2800194619 hasConcept C11413529 @default.
- W2800194619 hasConcept C126090379 @default.
- W2800194619 hasConcept C126255220 @default.
- W2800194619 hasConcept C131109320 @default.
- W2800194619 hasConcept C154945302 @default.
- W2800194619 hasConcept C157972887 @default.
- W2800194619 hasConcept C167928553 @default.
- W2800194619 hasConcept C185429906 @default.
- W2800194619 hasConcept C185592680 @default.
- W2800194619 hasConcept C2524010 @default.
- W2800194619 hasConcept C2776135515 @default.
- W2800194619 hasConcept C28490314 @default.
- W2800194619 hasConcept C33923547 @default.
- W2800194619 hasConcept C41008148 @default.
- W2800194619 hasConcept C45923927 @default.
- W2800194619 hasConcept C55493867 @default.
- W2800194619 hasConcept C63479239 @default.
- W2800194619 hasConcept C9936470 @default.
- W2800194619 hasConceptScore W2800194619C104317684 @default.
- W2800194619 hasConceptScore W2800194619C105795698 @default.
- W2800194619 hasConceptScore W2800194619C112680207 @default.
- W2800194619 hasConceptScore W2800194619C11413529 @default.
- W2800194619 hasConceptScore W2800194619C126090379 @default.
- W2800194619 hasConceptScore W2800194619C126255220 @default.
- W2800194619 hasConceptScore W2800194619C131109320 @default.
- W2800194619 hasConceptScore W2800194619C154945302 @default.
- W2800194619 hasConceptScore W2800194619C157972887 @default.
- W2800194619 hasConceptScore W2800194619C167928553 @default.
- W2800194619 hasConceptScore W2800194619C185429906 @default.
- W2800194619 hasConceptScore W2800194619C185592680 @default.
- W2800194619 hasConceptScore W2800194619C2524010 @default.
- W2800194619 hasConceptScore W2800194619C2776135515 @default.
- W2800194619 hasConceptScore W2800194619C28490314 @default.
- W2800194619 hasConceptScore W2800194619C33923547 @default.
- W2800194619 hasConceptScore W2800194619C41008148 @default.
- W2800194619 hasConceptScore W2800194619C45923927 @default.
- W2800194619 hasConceptScore W2800194619C55493867 @default.
- W2800194619 hasConceptScore W2800194619C63479239 @default.
- W2800194619 hasConceptScore W2800194619C9936470 @default.
- W2800194619 hasLocation W28001946191 @default.
- W2800194619 hasLocation W28001946192 @default.
- W2800194619 hasOpenAccess W2800194619 @default.
- W2800194619 hasPrimaryLocation W28001946191 @default.
- W2800194619 hasRelatedWork W1717575570 @default.
- W2800194619 hasRelatedWork W2086033458 @default.
- W2800194619 hasRelatedWork W2092372975 @default.
- W2800194619 hasRelatedWork W2134081946 @default.
- W2800194619 hasRelatedWork W2142203065 @default.
- W2800194619 hasRelatedWork W2743727611 @default.
- W2800194619 hasRelatedWork W2918849459 @default.
- W2800194619 hasRelatedWork W3036599379 @default.
- W2800194619 hasRelatedWork W3094945934 @default.