FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385241569> ?p ?o ?g. }

• W4385241569 endingPage "6640" @default.
• W4385241569 startingPage "6640" @default.
• W4385241569 abstract "Understanding and identifying emotional cues in human speech is a crucial aspect of human-computer communication. The application of computer technology in dissecting and deciphering emotions, along with the extraction of relevant emotional characteristics from speech, forms a significant part of this process. The objective of this study was to architect an innovative framework for speech emotion recognition predicated on spectrograms and semantic feature transcribers, aiming to bolster performance precision by acknowledging the conspicuous inadequacies in extant methodologies and rectifying them. To procure invaluable attributes for speech detection, this investigation leveraged two divergent strategies. Primarily, a wholly convolutional neural network model was engaged to transcribe speech spectrograms. Subsequently, a cutting-edge Mel-frequency cepstral coefficient feature abstraction approach was adopted and integrated with Speech2Vec for semantic feature encoding. These dual forms of attributes underwent individual processing before they were channeled into a long short-term memory network and a comprehensive connected layer for supplementary representation. By doing so, we aimed to bolster the sophistication and efficacy of our speech emotion detection model, thereby enhancing its potential to accurately recognize and interpret emotion from human speech. The proposed mechanism underwent a rigorous evaluation process employing two distinct databases: RAVDESS and EMO-DB. The outcome displayed a predominant performance when juxtaposed with established models, registering an impressive accuracy of 94.8% on the RAVDESS dataset and a commendable 94.0% on the EMO-DB dataset. This superior performance underscores the efficacy of our innovative system in the realm of speech emotion recognition, as it outperforms current frameworks in accuracy metrics." @default.
• W4385241569 created "2023-07-26" @default.
• W4385241569 creator A5017599793 @default.
• W4385241569 creator A5023896107 @default.
• W4385241569 creator A5047601810 @default.
• W4385241569 creator A5092538536 @default.
• W4385241569 date "2023-07-24" @default.
• W4385241569 modified "2023-09-26" @default.
• W4385241569 title "Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders" @default.
• W4385241569 cites W175750906 @default.
• W4385241569 cites W2137639365 @default.
• W4385241569 cites W2180587936 @default.
• W4385241569 cites W2239141610 @default.
• W4385241569 cites W2747664154 @default.
• W4385241569 cites W2803193013 @default.
• W4385241569 cites W2808416012 @default.
• W4385241569 cites W2888650348 @default.
• W4385241569 cites W2951975883 @default.
• W4385241569 cites W2959546144 @default.
• W4385241569 cites W2962770129 @default.
• W4385241569 cites W2963094797 @default.
• W4385241569 cites W2963104701 @default.
• W4385241569 cites W2964370293 @default.
• W4385241569 cites W2972463723 @default.
• W4385241569 cites W3000139089 @default.
• W4385241569 cites W3044927199 @default.
• W4385241569 cites W3110095155 @default.
• W4385241569 cites W3112103486 @default.
• W4385241569 cites W3129001924 @default.
• W4385241569 cites W3163571928 @default.
• W4385241569 cites W3168391820 @default.
• W4385241569 cites W3173311612 @default.
• W4385241569 cites W3193778305 @default.
• W4385241569 cites W3196974791 @default.
• W4385241569 cites W4221046698 @default.
• W4385241569 cites W4283161703 @default.
• W4385241569 cites W4291800392 @default.
• W4385241569 cites W4293222191 @default.
• W4385241569 cites W4296930501 @default.
• W4385241569 cites W4296994433 @default.
• W4385241569 cites W4306916538 @default.
• W4385241569 cites W4308802017 @default.
• W4385241569 cites W4311636742 @default.
• W4385241569 cites W4312611743 @default.
• W4385241569 cites W4319297029 @default.
• W4385241569 cites W4319319834 @default.
• W4385241569 cites W4319596491 @default.
• W4385241569 cites W4379985555 @default.
• W4385241569 doi "https://doi.org/10.3390/s23146640" @default.
• W4385241569 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37514933" @default.
• W4385241569 hasPublicationYear "2023" @default.
• W4385241569 type Work @default.
• W4385241569 citedByCount "0" @default.
• W4385241569 crossrefType "journal-article" @default.
• W4385241569 hasAuthorship W4385241569A5017599793 @default.
• W4385241569 hasAuthorship W4385241569A5023896107 @default.
• W4385241569 hasAuthorship W4385241569A5047601810 @default.
• W4385241569 hasAuthorship W4385241569A5092538536 @default.
• W4385241569 hasBestOaLocation W43852415691 @default.
• W4385241569 hasConcept C101738243 @default.
• W4385241569 hasConcept C111919701 @default.
• W4385241569 hasConcept C138885662 @default.
• W4385241569 hasConcept C154945302 @default.
• W4385241569 hasConcept C204321447 @default.
• W4385241569 hasConcept C2776401178 @default.
• W4385241569 hasConcept C28490314 @default.
• W4385241569 hasConcept C41008148 @default.
• W4385241569 hasConcept C41895202 @default.
• W4385241569 hasConcept C45273575 @default.
• W4385241569 hasConcept C50644808 @default.
• W4385241569 hasConcept C52622490 @default.
• W4385241569 hasConcept C81363708 @default.
• W4385241569 hasConcept C98045186 @default.
• W4385241569 hasConceptScore W4385241569C101738243 @default.
• W4385241569 hasConceptScore W4385241569C111919701 @default.
• W4385241569 hasConceptScore W4385241569C138885662 @default.
• W4385241569 hasConceptScore W4385241569C154945302 @default.
• W4385241569 hasConceptScore W4385241569C204321447 @default.
• W4385241569 hasConceptScore W4385241569C2776401178 @default.
• W4385241569 hasConceptScore W4385241569C28490314 @default.
• W4385241569 hasConceptScore W4385241569C41008148 @default.
• W4385241569 hasConceptScore W4385241569C41895202 @default.
• W4385241569 hasConceptScore W4385241569C45273575 @default.
• W4385241569 hasConceptScore W4385241569C50644808 @default.
• W4385241569 hasConceptScore W4385241569C52622490 @default.
• W4385241569 hasConceptScore W4385241569C81363708 @default.
• W4385241569 hasConceptScore W4385241569C98045186 @default.
• W4385241569 hasIssue "14" @default.
• W4385241569 hasLocation W43852415691 @default.
• W4385241569 hasLocation W43852415692 @default.
• W4385241569 hasOpenAccess W4385241569 @default.
• W4385241569 hasPrimaryLocation W43852415691 @default.
• W4385241569 hasRelatedWork W2602506882 @default.
• W4385241569 hasRelatedWork W2772780115 @default.
• W4385241569 hasRelatedWork W2907228390 @default.
• W4385241569 hasRelatedWork W2913302899 @default.
• W4385241569 hasRelatedWork W3091785813 @default.
• W4385241569 hasRelatedWork W3100491422 @default.

• next