Matches in SemOpenAlex for { <https://semopenalex.org/work/W2888879454> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2888879454 endingPage "371" @default.
- W2888879454 startingPage "363" @default.
- W2888879454 abstract "Automatic speech emotion recognition (SER) techniques based on acoustic analysis show high confusion between certain emotional categories. This study used an indirect approach to provide insights into the amplitude-frequency characteristics of different emotions in order to support the development of future, more efficiently differentiating SER methods. The analysis was carried out by transforming short 1-second blocks of speech into RGB or grey-scale images of spectrograms. The images were used to fine-tune a pre-trained image classification network to recognize emotions. Spectrogram representation on four different frequency scales - linear, melodic, equivalent rectangular bandwidth (ERB), and logarithmic - allowed observation of the effects of high, mid-high, mid-low and low frequency characteristics of speech, respectively. Whereas the use of either red (R), green (G) or blue (B) components of RGB images showed the importance of speech components with high, mid and low amplitude levels, respectively. Experiments conducted on the Berlin emotional speech (EMO-DB) data revealed the relative positions of seven emotional categories (anger, boredom, disgust, fear, joy, neutral and sadness) on the amplitude-frequency plane." @default.
- W2888879454 created "2018-09-07" @default.
- W2888879454 creator A5031570926 @default.
- W2888879454 creator A5046395470 @default.
- W2888879454 creator A5055298907 @default.
- W2888879454 creator A5065207789 @default.
- W2888879454 date "2018-08-01" @default.
- W2888879454 modified "2023-10-16" @default.
- W2888879454 title "Amplitude-Frequency Analysis of Emotional Speech Using Transfer Learning and Classification of Spectrogram Images" @default.
- W2888879454 cites W1552278919 @default.
- W2888879454 cites W1971362524 @default.
- W2888879454 cites W1976725440 @default.
- W2888879454 cites W2005592325 @default.
- W2888879454 cites W2097120990 @default.
- W2888879454 cites W2111926505 @default.
- W2888879454 cites W2114537326 @default.
- W2888879454 cites W2118789253 @default.
- W2888879454 cites W2123861288 @default.
- W2888879454 cites W2137639365 @default.
- W2888879454 cites W2148154194 @default.
- W2888879454 cites W2148822124 @default.
- W2888879454 cites W2150791533 @default.
- W2888879454 cites W2786121637 @default.
- W2888879454 cites W283543405 @default.
- W2888879454 cites W4251867726 @default.
- W2888879454 cites W43857071 @default.
- W2888879454 doi "https://doi.org/10.25046/aj030437" @default.
- W2888879454 hasPublicationYear "2018" @default.
- W2888879454 type Work @default.
- W2888879454 sameAs 2888879454 @default.
- W2888879454 citedByCount "18" @default.
- W2888879454 countsByYear W28888794542019 @default.
- W2888879454 countsByYear W28888794542020 @default.
- W2888879454 countsByYear W28888794542021 @default.
- W2888879454 countsByYear W28888794542022 @default.
- W2888879454 countsByYear W28888794542023 @default.
- W2888879454 crossrefType "journal-article" @default.
- W2888879454 hasAuthorship W2888879454A5031570926 @default.
- W2888879454 hasAuthorship W2888879454A5046395470 @default.
- W2888879454 hasAuthorship W2888879454A5055298907 @default.
- W2888879454 hasAuthorship W2888879454A5065207789 @default.
- W2888879454 hasBestOaLocation W28888794541 @default.
- W2888879454 hasConcept C120665830 @default.
- W2888879454 hasConcept C121332964 @default.
- W2888879454 hasConcept C150899416 @default.
- W2888879454 hasConcept C154945302 @default.
- W2888879454 hasConcept C180205008 @default.
- W2888879454 hasConcept C24890656 @default.
- W2888879454 hasConcept C28490314 @default.
- W2888879454 hasConcept C41008148 @default.
- W2888879454 hasConcept C45273575 @default.
- W2888879454 hasConceptScore W2888879454C120665830 @default.
- W2888879454 hasConceptScore W2888879454C121332964 @default.
- W2888879454 hasConceptScore W2888879454C150899416 @default.
- W2888879454 hasConceptScore W2888879454C154945302 @default.
- W2888879454 hasConceptScore W2888879454C180205008 @default.
- W2888879454 hasConceptScore W2888879454C24890656 @default.
- W2888879454 hasConceptScore W2888879454C28490314 @default.
- W2888879454 hasConceptScore W2888879454C41008148 @default.
- W2888879454 hasConceptScore W2888879454C45273575 @default.
- W2888879454 hasIssue "4" @default.
- W2888879454 hasLocation W28888794541 @default.
- W2888879454 hasOpenAccess W2888879454 @default.
- W2888879454 hasPrimaryLocation W28888794541 @default.
- W2888879454 hasRelatedWork W1976719989 @default.
- W2888879454 hasRelatedWork W2011227383 @default.
- W2888879454 hasRelatedWork W2065606036 @default.
- W2888879454 hasRelatedWork W2088854863 @default.
- W2888879454 hasRelatedWork W2138997758 @default.
- W2888879454 hasRelatedWork W2530685530 @default.
- W2888879454 hasRelatedWork W2897924318 @default.
- W2888879454 hasRelatedWork W2942893872 @default.
- W2888879454 hasRelatedWork W2973062255 @default.
- W2888879454 hasRelatedWork W4375868962 @default.
- W2888879454 hasVolume "3" @default.
- W2888879454 isParatext "false" @default.
- W2888879454 isRetracted "false" @default.
- W2888879454 magId "2888879454" @default.
- W2888879454 workType "article" @default.