Matches in SemOpenAlex for { <https://semopenalex.org/work/W2137877761> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2137877761 abstract "We present a novel method for mouth localization in the context of multimodal speech recognition where audio and visual cues are fused to improve the speech recognition accuracy. While facial feature points like mouth corners or lip contours are commonly used to estimate at least scale, position, and orientation of the mouth, we propose a Hough transform-based method. Instead of relying on a predefined sparse subset of mouth features, it casts probabilistic votes for the mouth center from several patches in the neighborhood and accumulates the votes in a Hough image. This makes the localization more robust as it does not rely on the detection of a single feature. In addition, we exploit the different shape properties of eyes and mouth in order to localize the mouth more efficiently. Using the rotation invariant representation of the iris, scale and orientation can be efficiently inferred from the localized eye positions. The superior accuracy of our method and quantitative improvements for audio-visual speech recognition over monomodal approaches are demonstrated on two datasets." @default.
- W2137877761 created "2016-06-24" @default.
- W2137877761 creator A5025592506 @default.
- W2137877761 creator A5050914460 @default.
- W2137877761 creator A5069340484 @default.
- W2137877761 date "2009-01-01" @default.
- W2137877761 modified "2023-09-28" @default.
- W2137877761 title "Hough Transform-based Mouth Localization for Audio-Visual Speech Recognition" @default.
- W2137877761 cites W1545354932 @default.
- W2137877761 cites W1563256181 @default.
- W2137877761 cites W1975647954 @default.
- W2137877761 cites W1995444699 @default.
- W2137877761 cites W2000326692 @default.
- W2137877761 cites W2015394094 @default.
- W2137877761 cites W2021279213 @default.
- W2137877761 cites W2033895145 @default.
- W2137877761 cites W2099947851 @default.
- W2137877761 cites W2106284211 @default.
- W2137877761 cites W2118258383 @default.
- W2137877761 cites W2120240539 @default.
- W2137877761 cites W2124397839 @default.
- W2137877761 cites W2135931458 @default.
- W2137877761 cites W2148659689 @default.
- W2137877761 cites W2155471382 @default.
- W2137877761 cites W2162361293 @default.
- W2137877761 cites W2167955297 @default.
- W2137877761 cites W2169416477 @default.
- W2137877761 cites W2169837008 @default.
- W2137877761 cites W2182448868 @default.
- W2137877761 cites W22517275 @default.
- W2137877761 cites W22745672 @default.
- W2137877761 cites W2407414360 @default.
- W2137877761 cites W2764433274 @default.
- W2137877761 cites W2911964244 @default.
- W2137877761 cites W3214102110 @default.
- W2137877761 cites W88081813 @default.
- W2137877761 cites W142803501 @default.
- W2137877761 doi "https://doi.org/10.5244/c.23.78" @default.
- W2137877761 hasPublicationYear "2009" @default.
- W2137877761 type Work @default.
- W2137877761 sameAs 2137877761 @default.
- W2137877761 citedByCount "18" @default.
- W2137877761 countsByYear W21378777612012 @default.
- W2137877761 countsByYear W21378777612013 @default.
- W2137877761 countsByYear W21378777612014 @default.
- W2137877761 countsByYear W21378777612015 @default.
- W2137877761 countsByYear W21378777612016 @default.
- W2137877761 countsByYear W21378777612017 @default.
- W2137877761 countsByYear W21378777612018 @default.
- W2137877761 countsByYear W21378777612022 @default.
- W2137877761 crossrefType "proceedings-article" @default.
- W2137877761 hasAuthorship W2137877761A5025592506 @default.
- W2137877761 hasAuthorship W2137877761A5050914460 @default.
- W2137877761 hasAuthorship W2137877761A5069340484 @default.
- W2137877761 hasConcept C115961682 @default.
- W2137877761 hasConcept C154945302 @default.
- W2137877761 hasConcept C200518788 @default.
- W2137877761 hasConcept C28490314 @default.
- W2137877761 hasConcept C3017588708 @default.
- W2137877761 hasConcept C31972630 @default.
- W2137877761 hasConcept C41008148 @default.
- W2137877761 hasConcept C49774154 @default.
- W2137877761 hasConceptScore W2137877761C115961682 @default.
- W2137877761 hasConceptScore W2137877761C154945302 @default.
- W2137877761 hasConceptScore W2137877761C200518788 @default.
- W2137877761 hasConceptScore W2137877761C28490314 @default.
- W2137877761 hasConceptScore W2137877761C3017588708 @default.
- W2137877761 hasConceptScore W2137877761C31972630 @default.
- W2137877761 hasConceptScore W2137877761C41008148 @default.
- W2137877761 hasConceptScore W2137877761C49774154 @default.
- W2137877761 hasLocation W21378777611 @default.
- W2137877761 hasOpenAccess W2137877761 @default.
- W2137877761 hasPrimaryLocation W21378777611 @default.
- W2137877761 hasRelatedWork W2021219811 @default.
- W2137877761 hasRelatedWork W2066831942 @default.
- W2137877761 hasRelatedWork W2084975219 @default.
- W2137877761 hasRelatedWork W2091533880 @default.
- W2137877761 hasRelatedWork W2125820860 @default.
- W2137877761 hasRelatedWork W2254998421 @default.
- W2137877761 hasRelatedWork W2374020915 @default.
- W2137877761 hasRelatedWork W3096154704 @default.
- W2137877761 hasRelatedWork W2340004334 @default.
- W2137877761 hasRelatedWork W2596524021 @default.
- W2137877761 isParatext "false" @default.
- W2137877761 isRetracted "false" @default.
- W2137877761 magId "2137877761" @default.
- W2137877761 workType "article" @default.