Matches in SemOpenAlex for { <https://semopenalex.org/work/W2111769465> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2111769465 abstract "Bilinear models based feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation have showed good performance especially when the amount of adaptation data is limited. However, the model dimensionality selection is very critical to the performance of bilinear models and need more work to find the optimal selection method. In this paper, we present an empirical study on this issue and suggest using a piecewise log-linear function to describe the relationship between the relatively optimal dimensionality parameter and the variant amount of data. This relationship can be used to efficiently select the bilinear model dimensionality in FMLLR speaker adaptation with the variant amount of data for each test speaker to improve recognition performance on the English voice control dataset." @default.
- W2111769465 created "2016-06-24" @default.
- W2111769465 creator A5032367559 @default.
- W2111769465 creator A5088716214 @default.
- W2111769465 date "2012-03-01" @default.
- W2111769465 modified "2023-09-25" @default.
- W2111769465 title "Model dimensionality selection in bilinear transformation for feature space MLLR rapid speaker adaptation" @default.
- W2111769465 cites W112154549 @default.
- W2111769465 cites W2002342963 @default.
- W2111769465 cites W2137374055 @default.
- W2111769465 cites W2151137472 @default.
- W2111769465 cites W2248386467 @default.
- W2111769465 doi "https://doi.org/10.1109/icassp.2012.6288883" @default.
- W2111769465 hasPublicationYear "2012" @default.
- W2111769465 type Work @default.
- W2111769465 sameAs 2111769465 @default.
- W2111769465 citedByCount "1" @default.
- W2111769465 countsByYear W21117694652016 @default.
- W2111769465 crossrefType "proceedings-article" @default.
- W2111769465 hasAuthorship W2111769465A5032367559 @default.
- W2111769465 hasAuthorship W2111769465A5088716214 @default.
- W2111769465 hasConcept C111030470 @default.
- W2111769465 hasConcept C120665830 @default.
- W2111769465 hasConcept C121332964 @default.
- W2111769465 hasConcept C134306372 @default.
- W2111769465 hasConcept C139807058 @default.
- W2111769465 hasConcept C148483581 @default.
- W2111769465 hasConcept C153180895 @default.
- W2111769465 hasConcept C154945302 @default.
- W2111769465 hasConcept C164660894 @default.
- W2111769465 hasConcept C205203396 @default.
- W2111769465 hasConcept C28490314 @default.
- W2111769465 hasConcept C31972630 @default.
- W2111769465 hasConcept C33923547 @default.
- W2111769465 hasConcept C41008148 @default.
- W2111769465 hasConcept C81917197 @default.
- W2111769465 hasConcept C83665646 @default.
- W2111769465 hasConceptScore W2111769465C111030470 @default.
- W2111769465 hasConceptScore W2111769465C120665830 @default.
- W2111769465 hasConceptScore W2111769465C121332964 @default.
- W2111769465 hasConceptScore W2111769465C134306372 @default.
- W2111769465 hasConceptScore W2111769465C139807058 @default.
- W2111769465 hasConceptScore W2111769465C148483581 @default.
- W2111769465 hasConceptScore W2111769465C153180895 @default.
- W2111769465 hasConceptScore W2111769465C154945302 @default.
- W2111769465 hasConceptScore W2111769465C164660894 @default.
- W2111769465 hasConceptScore W2111769465C205203396 @default.
- W2111769465 hasConceptScore W2111769465C28490314 @default.
- W2111769465 hasConceptScore W2111769465C31972630 @default.
- W2111769465 hasConceptScore W2111769465C33923547 @default.
- W2111769465 hasConceptScore W2111769465C41008148 @default.
- W2111769465 hasConceptScore W2111769465C81917197 @default.
- W2111769465 hasConceptScore W2111769465C83665646 @default.
- W2111769465 hasLocation W21117694651 @default.
- W2111769465 hasOpenAccess W2111769465 @default.
- W2111769465 hasPrimaryLocation W21117694651 @default.
- W2111769465 hasRelatedWork W10704533 @default.
- W2111769465 hasRelatedWork W112154549 @default.
- W2111769465 hasRelatedWork W181370797 @default.
- W2111769465 hasRelatedWork W1994625565 @default.
- W2111769465 hasRelatedWork W2002342963 @default.
- W2111769465 hasRelatedWork W2075336985 @default.
- W2111769465 hasRelatedWork W2122140124 @default.
- W2111769465 hasRelatedWork W2137374055 @default.
- W2111769465 hasRelatedWork W2156674793 @default.
- W2111769465 hasRelatedWork W2605492095 @default.
- W2111769465 hasRelatedWork W26405188 @default.
- W2111769465 hasRelatedWork W27049869 @default.
- W2111769465 hasRelatedWork W68550407 @default.
- W2111769465 hasRelatedWork W95870201 @default.
- W2111769465 hasRelatedWork W166077750 @default.
- W2111769465 hasRelatedWork W231435802 @default.
- W2111769465 hasRelatedWork W3184343685 @default.
- W2111769465 hasRelatedWork W73580600 @default.
- W2111769465 hasRelatedWork W940672154 @default.
- W2111769465 hasRelatedWork W974926589 @default.
- W2111769465 isParatext "false" @default.
- W2111769465 isRetracted "false" @default.
- W2111769465 magId "2111769465" @default.
- W2111769465 workType "article" @default.