Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226425326> ?p ?o ?g. }
- W4226425326 endingPage "705" @default.
- W4226425326 startingPage "695" @default.
- W4226425326 abstract "In recent years, speech emotion recognition technology is of great significance in widespread applications such as call centers, social robots and health care. Thus, the speech emotion recognition has been attracted much attention in both industry and academic. Since emotions existing in an entire utterance may have varied probabilities, speech emotion is likely to be ambiguous, which poses great challenges to recognition tasks. However, previous studies commonly assigned a single-label or multi-label to each utterance in certain. Therefore, their algorithms result in low accuracies because of the inappropriate representation. Inspired by the optimally interacting theory, we address the ambiguous speech emotions by proposing a novel multi-classifier interactive learning (MCIL) method. In MCIL, multiple different classifiers first mimic several individuals, who have inconsistent cognitions of ambiguous emotions, and construct new ambiguous labels (the emotion probability distribution). Then, they are retrained with the new labels to interact with their cognitions. This procedure enables each classifier to learn better representations of ambiguous data from others, and further improves the recognition ability. The experiments on three benchmark corpora (MAS, IEMOCAP, and FAU-AIBO) demonstrate that MCIL does not only improve each classifier’s performance, but also raises their recognition consistency from moderate to substantial." @default.
- W4226425326 created "2022-05-05" @default.
- W4226425326 creator A5026859010 @default.
- W4226425326 creator A5056431851 @default.
- W4226425326 creator A5064959318 @default.
- W4226425326 creator A5073279735 @default.
- W4226425326 creator A5083213551 @default.
- W4226425326 date "2022-01-01" @default.
- W4226425326 modified "2023-10-16" @default.
- W4226425326 title "Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition" @default.
- W4226425326 cites W1534477342 @default.
- W4226425326 cites W1622084397 @default.
- W4226425326 cites W1967003847 @default.
- W4226425326 cites W1969090956 @default.
- W4226425326 cites W1985871083 @default.
- W4226425326 cites W2048679005 @default.
- W4226425326 cites W2061068689 @default.
- W4226425326 cites W2063440895 @default.
- W4226425326 cites W2087618018 @default.
- W4226425326 cites W2093174546 @default.
- W4226425326 cites W2133556223 @default.
- W4226425326 cites W2146334809 @default.
- W4226425326 cites W2153720647 @default.
- W4226425326 cites W2154024118 @default.
- W4226425326 cites W2170638740 @default.
- W4226425326 cites W2183341477 @default.
- W4226425326 cites W2194775991 @default.
- W4226425326 cites W2552810951 @default.
- W4226425326 cites W2618530766 @default.
- W4226425326 cites W2625297138 @default.
- W4226425326 cites W2734427344 @default.
- W4226425326 cites W2765860599 @default.
- W4226425326 cites W2766272105 @default.
- W4226425326 cites W2801959488 @default.
- W4226425326 cites W2804664105 @default.
- W4226425326 cites W28412257 @default.
- W4226425326 cites W2886418701 @default.
- W4226425326 cites W2888786729 @default.
- W4226425326 cites W2889090126 @default.
- W4226425326 cites W2889374687 @default.
- W4226425326 cites W2889544113 @default.
- W4226425326 cites W2897863374 @default.
- W4226425326 cites W2936113082 @default.
- W4226425326 cites W2936372954 @default.
- W4226425326 cites W2959546144 @default.
- W4226425326 cites W2963446712 @default.
- W4226425326 cites W2972452068 @default.
- W4226425326 cites W2972971501 @default.
- W4226425326 cites W2982248052 @default.
- W4226425326 cites W3004732066 @default.
- W4226425326 cites W3015884429 @default.
- W4226425326 cites W3035652936 @default.
- W4226425326 cites W3096147072 @default.
- W4226425326 cites W3097567450 @default.
- W4226425326 cites W3106506544 @default.
- W4226425326 cites W3160520218 @default.
- W4226425326 cites W3163157357 @default.
- W4226425326 cites W3198893858 @default.
- W4226425326 cites W4212883601 @default.
- W4226425326 doi "https://doi.org/10.1109/taslp.2022.3145287" @default.
- W4226425326 hasPublicationYear "2022" @default.
- W4226425326 type Work @default.
- W4226425326 citedByCount "13" @default.
- W4226425326 countsByYear W42264253262022 @default.
- W4226425326 countsByYear W42264253262023 @default.
- W4226425326 crossrefType "journal-article" @default.
- W4226425326 hasAuthorship W4226425326A5026859010 @default.
- W4226425326 hasAuthorship W4226425326A5056431851 @default.
- W4226425326 hasAuthorship W4226425326A5064959318 @default.
- W4226425326 hasAuthorship W4226425326A5073279735 @default.
- W4226425326 hasAuthorship W4226425326A5083213551 @default.
- W4226425326 hasBestOaLocation W42264253262 @default.
- W4226425326 hasConcept C119857082 @default.
- W4226425326 hasConcept C154945302 @default.
- W4226425326 hasConcept C204321447 @default.
- W4226425326 hasConcept C2775852435 @default.
- W4226425326 hasConcept C2777438025 @default.
- W4226425326 hasConcept C28490314 @default.
- W4226425326 hasConcept C41008148 @default.
- W4226425326 hasConcept C95623464 @default.
- W4226425326 hasConceptScore W4226425326C119857082 @default.
- W4226425326 hasConceptScore W4226425326C154945302 @default.
- W4226425326 hasConceptScore W4226425326C204321447 @default.
- W4226425326 hasConceptScore W4226425326C2775852435 @default.
- W4226425326 hasConceptScore W4226425326C2777438025 @default.
- W4226425326 hasConceptScore W4226425326C28490314 @default.
- W4226425326 hasConceptScore W4226425326C41008148 @default.
- W4226425326 hasConceptScore W4226425326C95623464 @default.
- W4226425326 hasLocation W42264253261 @default.
- W4226425326 hasLocation W42264253262 @default.
- W4226425326 hasOpenAccess W4226425326 @default.
- W4226425326 hasPrimaryLocation W42264253261 @default.
- W4226425326 hasRelatedWork W1528871634 @default.
- W4226425326 hasRelatedWork W2103955203 @default.
- W4226425326 hasRelatedWork W2312116756 @default.
- W4226425326 hasRelatedWork W2367170701 @default.
- W4226425326 hasRelatedWork W2556319748 @default.
- W4226425326 hasRelatedWork W2587684252 @default.