Matches in SemOpenAlex for { <https://semopenalex.org/work/W1971335626> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W1971335626 endingPage "3417" @default.
- W1971335626 startingPage "3409" @default.
- W1971335626 abstract "In this paper, the speech database is introduced for characterizing the emotions present in speech. A semi natural database GEU-SNESC (GEU Semi Natural Emotion Speech Corpus) is used for obtaining emotion specific information using LP residual samples as features. The corpus is collected by recording dialogues of popular film actors/actresses from Hindi movies. The emotions which are considered in this study are sad, anger, happy and neutral. In this paper Linear Prediction (LP) residual of speech signal is used for characterizing the basic emotions present in the speech. LP residual is obtained by LP analysis, by inverse filtering of the speech signal. For capturing the emotion specific information from the higher order relations, present in the LP residual, Gaussian mixture models (GMM) are used. The emotion recognition performance is observed to be about 50-60%." @default.
- W1971335626 created "2016-06-24" @default.
- W1971335626 creator A5041252013 @default.
- W1971335626 creator A5046622313 @default.
- W1971335626 creator A5048234263 @default.
- W1971335626 creator A5063472762 @default.
- W1971335626 creator A5086367235 @default.
- W1971335626 date "2012-01-01" @default.
- W1971335626 modified "2023-09-26" @default.
- W1971335626 title "Recognition of Emotions from Speech using Excitation Source Features" @default.
- W1971335626 cites W1983049966 @default.
- W1971335626 cites W1995966271 @default.
- W1971335626 cites W2017685870 @default.
- W1971335626 cites W2038663249 @default.
- W1971335626 cites W2079580908 @default.
- W1971335626 cites W2112164460 @default.
- W1971335626 cites W2118911453 @default.
- W1971335626 cites W2139819017 @default.
- W1971335626 cites W4210849719 @default.
- W1971335626 doi "https://doi.org/10.1016/j.proeng.2012.06.394" @default.
- W1971335626 hasPublicationYear "2012" @default.
- W1971335626 type Work @default.
- W1971335626 sameAs 1971335626 @default.
- W1971335626 citedByCount "12" @default.
- W1971335626 countsByYear W19713356262013 @default.
- W1971335626 countsByYear W19713356262014 @default.
- W1971335626 countsByYear W19713356262015 @default.
- W1971335626 countsByYear W19713356262016 @default.
- W1971335626 countsByYear W19713356262017 @default.
- W1971335626 countsByYear W19713356262018 @default.
- W1971335626 countsByYear W19713356262020 @default.
- W1971335626 countsByYear W19713356262021 @default.
- W1971335626 countsByYear W19713356262022 @default.
- W1971335626 countsByYear W19713356262023 @default.
- W1971335626 crossrefType "journal-article" @default.
- W1971335626 hasAuthorship W1971335626A5041252013 @default.
- W1971335626 hasAuthorship W1971335626A5046622313 @default.
- W1971335626 hasAuthorship W1971335626A5048234263 @default.
- W1971335626 hasAuthorship W1971335626A5063472762 @default.
- W1971335626 hasAuthorship W1971335626A5086367235 @default.
- W1971335626 hasBestOaLocation W19713356261 @default.
- W1971335626 hasConcept C11413529 @default.
- W1971335626 hasConcept C118552586 @default.
- W1971335626 hasConcept C154945302 @default.
- W1971335626 hasConcept C155512373 @default.
- W1971335626 hasConcept C15744967 @default.
- W1971335626 hasConcept C199360897 @default.
- W1971335626 hasConcept C204321447 @default.
- W1971335626 hasConcept C206310091 @default.
- W1971335626 hasConcept C2777438025 @default.
- W1971335626 hasConcept C2779302386 @default.
- W1971335626 hasConcept C2779843651 @default.
- W1971335626 hasConcept C28490314 @default.
- W1971335626 hasConcept C41008148 @default.
- W1971335626 hasConceptScore W1971335626C11413529 @default.
- W1971335626 hasConceptScore W1971335626C118552586 @default.
- W1971335626 hasConceptScore W1971335626C154945302 @default.
- W1971335626 hasConceptScore W1971335626C155512373 @default.
- W1971335626 hasConceptScore W1971335626C15744967 @default.
- W1971335626 hasConceptScore W1971335626C199360897 @default.
- W1971335626 hasConceptScore W1971335626C204321447 @default.
- W1971335626 hasConceptScore W1971335626C206310091 @default.
- W1971335626 hasConceptScore W1971335626C2777438025 @default.
- W1971335626 hasConceptScore W1971335626C2779302386 @default.
- W1971335626 hasConceptScore W1971335626C2779843651 @default.
- W1971335626 hasConceptScore W1971335626C28490314 @default.
- W1971335626 hasConceptScore W1971335626C41008148 @default.
- W1971335626 hasLocation W19713356261 @default.
- W1971335626 hasOpenAccess W1971335626 @default.
- W1971335626 hasPrimaryLocation W19713356261 @default.
- W1971335626 hasRelatedWork W1483399002 @default.
- W1971335626 hasRelatedWork W1967892898 @default.
- W1971335626 hasRelatedWork W2374683440 @default.
- W1971335626 hasRelatedWork W2384486093 @default.
- W1971335626 hasRelatedWork W2402780138 @default.
- W1971335626 hasRelatedWork W2536562190 @default.
- W1971335626 hasRelatedWork W3131459320 @default.
- W1971335626 hasRelatedWork W4224129546 @default.
- W1971335626 hasRelatedWork W4226207398 @default.
- W1971335626 hasRelatedWork W4379781104 @default.
- W1971335626 hasVolume "38" @default.
- W1971335626 isParatext "false" @default.
- W1971335626 isRetracted "false" @default.
- W1971335626 magId "1971335626" @default.
- W1971335626 workType "article" @default.