Name
Abstract | ||
|---|---|---|
The paper is focused at detection of stress level in the phonation by Gaussian mixture models (GMM) classification. The proposed method compares partial GMM recognition scores for normal speech represented by a neutral state and low-arousal emotions with positive valence and for stressed speech modelled by high-arousal emotions with negative pleasure. For creation and training of the GMMs of the n... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSP52935.2021.9522619 | 2021 44th International Conference on Telecommunications and Signal Processing (TSP) |
Keywords | DocType | ISBN |
Vibrations,Training,Performance evaluation,Databases,Magnetic resonance imaging,Speech recognition,Telecommunications | Conference | 978-1-6654-2933-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiří Přibil | 1 | 0 | 0.34 |
| Anna Přibilová | 2 | 0 | 0.34 |
| Ivan Frollo | 3 | 0 | 0.34 |