Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Safa Chebbi"'
1
Deception detection using multimodal fusion approaches
Autor: Safa Chebbi, Sofia Ben Jebara
Publikováno v: Multimedia Tools and Applications. 82:13073-13102
Automatic deception detection is an important task that has gained a huge interest in different fields due to its potential applications. Particularly, it can improve justice and security in society by helping in detecting deceivers in high-stakes si
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0af21426d36b665d6be7215b02b1cf7f
https://doi.org/10.1007/s11042-021-11148-9
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3
On the use of MFCC and SWT-based features for offensive speech detection in social media
Autor: Sofia Ben Jebara, Safa Chebbi, Sara Sekkate, Abdellah Adib
Publikováno v: INISTA
Research on psychological comfort and serenity in social media becomes a necessity because of the excess of negative waves generated by the users. In this paper, we aim to distinguish between offensive and ordinary speech based on machine learning cl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::144044ed2fdbc233c5a92081a93096d8
https://doi.org/10.1109/inista52262.2021.9548341
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7
On The Selection of Relevant Features for Fear Emotion Detection from Speech
Autor: Safa Chebbi, Sofia Ben Jebara
Publikováno v: ISIVC
In this paper, we present a study to select the most relevant features, among a whole set of 27 pitch-based ones, in order to detect fear emotion from speech. To do so, four different relevance indexes have been used: Fisher discriminant ratio, proba
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5fcf12c730d30dedc78663d1089f752e
https://doi.org/10.1109/isivc.2018.8709233
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8
On the use of pitch-based features for fear emotion detection from speech
Autor: Sofia Ben Jebara, Safa Chebbi
Publikováno v: ATSIP
In this paper, we present a study that aims to evaluate the effect of pitch-related features on fear emotion detection from speech signal. In this context, several features have been tested. Only relevant ones are selected thanks to ANOVA tests. Next
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d026bb649300eea2475823213a069260
https://doi.org/10.1109/atsip.2018.8364512
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