Polish emotional speech recognition using artifical neural network
Artykuł w czasopiśmie
MNiSW
5
Lista B
| Status: | |
| Autorzy: | Powroźnik Paweł |
| Rok wydania: | 2014 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 24 |
| Wolumen/Tom: | 8 |
| Strony: | 24 - 27 |
| Web of Science® Times Cited: | 4 |
| Bazy: | Web of Science | EBSCOhost | DOAJ | Web of Science Core Collection | J-Gate | Google Scholar | BazTech |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Otwarte czasopismo |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 23 listopada 2014 |
| Abstrakty: | angielski |
| The article presents the issue of emotion recognition based on polish emotional speech analysis. The Polish database of emotional speech, prepared and shared by the Medical Electronics Division of the Lodz University of Technology, has been used for research. The following parameters extracted from sampled and normalised speech signal has been used for the analysis: energy of signal, speaker’s sex, average value of speech signal and both the minimum and maximum sample value for a given signal. As an emotional state a classifier fof our layers of artificial neural network has been used. The achieved results reach 50% of accuracy. Conducted researches focused on six emotional states: a neutral state, sadness, joy, anger, fear and boredom |
