- Tytuł:
- Analysis of Features and Classifiers in Emotion Recognition Systems : Case Study of Slavic Languages
- Autorzy:
-
Nedeljković, Željko
Milošević, Milana
Ðurović, Željko - Powiązania:
- https://bibliotekanauki.pl/articles/176678.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Czasopisma i Monografie PAN
- Tematy:
-
emotion recognition
speech processing
classification algorithms - Opis:
- 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.
- Źródło:
-
Archives of Acoustics; 2020, 45, 1; 129-140
0137-5075 - Pojawia się w:
- Archives of Acoustics
- Dostawca treści:
- Biblioteka Nauki
Artykuł