Matches in SemOpenAlex for { <https://semopenalex.org/work/W2055450704> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2055450704 abstract "Emotion Recognition is increasingly becoming an important part of computer vision and robotics. There has been a lot of research and development around this field in the recent times. It is imperative to design emotion recognition systems for real time situations having a considerable rate of accuracy which can find its application in telecommunications, security, etc. This paper discusses a novel design/approach based on a hierarchical decision tree for the GMM means supervector based feature set and using various classifiers viz. SVM, BLG and SVR, to improve the performance of the existing emotion recognition systems. These approaches have been studied on Emo-DB, a German language emotional speech database, yielding about 83% recognition results for closed set based speaker-independent recognition for the optimized method. These results are similar to the results achieved by existing studies on emotion recognition using GMM means supervectors." @default.
- W2055450704 created "2016-06-24" @default.
- W2055450704 creator A5030027506 @default.
- W2055450704 creator A5036693781 @default.
- W2055450704 creator A5052908070 @default.
- W2055450704 date "2013-02-01" @default.
- W2055450704 modified "2023-10-14" @default.
- W2055450704 title "Speech based Emotion Recognition based on hierarchical decision tree with SVM, BLG and SVR classifiers" @default.
- W2055450704 cites W12004675 @default.
- W2055450704 cites W1501669607 @default.
- W2055450704 cites W1548561233 @default.
- W2055450704 cites W175750906 @default.
- W2055450704 cites W1969386661 @default.
- W2055450704 cites W1972280480 @default.
- W2055450704 cites W1995558350 @default.
- W2055450704 cites W2147147599 @default.
- W2055450704 cites W2166183437 @default.
- W2055450704 cites W2408524143 @default.
- W2055450704 cites W309418507 @default.
- W2055450704 cites W3145986779 @default.
- W2055450704 doi "https://doi.org/10.1109/ncc.2013.6487987" @default.
- W2055450704 hasPublicationYear "2013" @default.
- W2055450704 type Work @default.
- W2055450704 sameAs 2055450704 @default.
- W2055450704 citedByCount "16" @default.
- W2055450704 countsByYear W20554507042013 @default.
- W2055450704 countsByYear W20554507042014 @default.
- W2055450704 countsByYear W20554507042015 @default.
- W2055450704 countsByYear W20554507042016 @default.
- W2055450704 countsByYear W20554507042017 @default.
- W2055450704 countsByYear W20554507042020 @default.
- W2055450704 countsByYear W20554507042022 @default.
- W2055450704 countsByYear W20554507042023 @default.
- W2055450704 crossrefType "proceedings-article" @default.
- W2055450704 hasAuthorship W2055450704A5030027506 @default.
- W2055450704 hasAuthorship W2055450704A5036693781 @default.
- W2055450704 hasAuthorship W2055450704A5052908070 @default.
- W2055450704 hasConcept C119857082 @default.
- W2055450704 hasConcept C12267149 @default.
- W2055450704 hasConcept C133892786 @default.
- W2055450704 hasConcept C138885662 @default.
- W2055450704 hasConcept C151989614 @default.
- W2055450704 hasConcept C153180895 @default.
- W2055450704 hasConcept C154945302 @default.
- W2055450704 hasConcept C177264268 @default.
- W2055450704 hasConcept C199360897 @default.
- W2055450704 hasConcept C202444582 @default.
- W2055450704 hasConcept C2776401178 @default.
- W2055450704 hasConcept C2777438025 @default.
- W2055450704 hasConcept C28490314 @default.
- W2055450704 hasConcept C33923547 @default.
- W2055450704 hasConcept C41008148 @default.
- W2055450704 hasConcept C41895202 @default.
- W2055450704 hasConcept C52622490 @default.
- W2055450704 hasConcept C84525736 @default.
- W2055450704 hasConcept C9652623 @default.
- W2055450704 hasConceptScore W2055450704C119857082 @default.
- W2055450704 hasConceptScore W2055450704C12267149 @default.
- W2055450704 hasConceptScore W2055450704C133892786 @default.
- W2055450704 hasConceptScore W2055450704C138885662 @default.
- W2055450704 hasConceptScore W2055450704C151989614 @default.
- W2055450704 hasConceptScore W2055450704C153180895 @default.
- W2055450704 hasConceptScore W2055450704C154945302 @default.
- W2055450704 hasConceptScore W2055450704C177264268 @default.
- W2055450704 hasConceptScore W2055450704C199360897 @default.
- W2055450704 hasConceptScore W2055450704C202444582 @default.
- W2055450704 hasConceptScore W2055450704C2776401178 @default.
- W2055450704 hasConceptScore W2055450704C2777438025 @default.
- W2055450704 hasConceptScore W2055450704C28490314 @default.
- W2055450704 hasConceptScore W2055450704C33923547 @default.
- W2055450704 hasConceptScore W2055450704C41008148 @default.
- W2055450704 hasConceptScore W2055450704C41895202 @default.
- W2055450704 hasConceptScore W2055450704C52622490 @default.
- W2055450704 hasConceptScore W2055450704C84525736 @default.
- W2055450704 hasConceptScore W2055450704C9652623 @default.
- W2055450704 hasLocation W20554507041 @default.
- W2055450704 hasOpenAccess W2055450704 @default.
- W2055450704 hasPrimaryLocation W20554507041 @default.
- W2055450704 hasRelatedWork W1994885532 @default.
- W2055450704 hasRelatedWork W2002905069 @default.
- W2055450704 hasRelatedWork W2126100045 @default.
- W2055450704 hasRelatedWork W2336974148 @default.
- W2055450704 hasRelatedWork W2350343535 @default.
- W2055450704 hasRelatedWork W2497697110 @default.
- W2055450704 hasRelatedWork W3006133490 @default.
- W2055450704 hasRelatedWork W40124310 @default.
- W2055450704 hasRelatedWork W4205958290 @default.
- W2055450704 hasRelatedWork W2185619957 @default.
- W2055450704 isParatext "false" @default.
- W2055450704 isRetracted "false" @default.
- W2055450704 magId "2055450704" @default.
- W2055450704 workType "article" @default.