Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages
Today’s human-computer interaction systems have a broad variety of applications in which automatic human emotion recognition is of great interest. Literature contains many different, more or less successful forms of these systems. This work emerged as an attempt to clarify which speech features are...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research Polish Academy of Sciences
2020-02-01
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| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/2479 |
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| author | Željko NEDELJKOVIĆ Milana MILOŠEVIĆ Željko ĐUROVIĆ |
| author_facet | Željko NEDELJKOVIĆ Milana MILOŠEVIĆ Željko ĐUROVIĆ |
| author_sort | Željko NEDELJKOVIĆ |
| collection | DOAJ |
| description | Today’s human-computer interaction systems have a broad variety of applications in which automatic human emotion recognition is of great interest. Literature contains many different, more or less successful forms of these systems. This work emerged as an attempt to clarify which speech features are the most informative, which classification structure is the most convenient for this type of tasks, and the degree to which the results are influenced by database size, quality and cultural characteristic of a language. The research is presented as the case study on Slavic languages. |
| format | Article |
| id | doaj-art-e9caef3063ec49298b392a8ba38bac2a |
| institution | DOAJ |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2020-02-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-e9caef3063ec49298b392a8ba38bac2a2025-08-20T02:50:59ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2020-02-0145110.24425/aoa.2020.132489Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic LanguagesŽeljko NEDELJKOVIĆ0Milana MILOŠEVIĆ1Željko ĐUROVIĆ2University of BelgradeUniversity of BelgradeUniversity of BelgradeToday’s human-computer interaction systems have a broad variety of applications in which automatic human emotion recognition is of great interest. Literature contains many different, more or less successful forms of these systems. This work emerged as an attempt to clarify which speech features are the most informative, which classification structure is the most convenient for this type of tasks, and the degree to which the results are influenced by database size, quality and cultural characteristic of a language. The research is presented as the case study on Slavic languages.https://acoustics.ippt.pan.pl/index.php/aa/article/view/2479emotion recognitionspeech processingclassification algorithms |
| spellingShingle | Željko NEDELJKOVIĆ Milana MILOŠEVIĆ Željko ĐUROVIĆ Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages Archives of Acoustics emotion recognition speech processing classification algorithms |
| title | Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages |
| title_full | Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages |
| title_fullStr | Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages |
| title_full_unstemmed | Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages |
| title_short | Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages |
| title_sort | analysis of features and classifiers in emotion recognition systems case study of slavic languages |
| topic | emotion recognition speech processing classification algorithms |
| url | https://acoustics.ippt.pan.pl/index.php/aa/article/view/2479 |
| work_keys_str_mv | AT zeljkonedeljkovic analysisoffeaturesandclassifiersinemotionrecognitionsystemscasestudyofslaviclanguages AT milanamilosevic analysisoffeaturesandclassifiersinemotionrecognitionsystemscasestudyofslaviclanguages AT zeljkođurovic analysisoffeaturesandclassifiersinemotionrecognitionsystemscasestudyofslaviclanguages |