POLISH EMOTIONAL SPEECH RECOGNITION USING ARTIFICAL NEURAL NETWORK
 
Więcej
Ukryj
1
Institute of the Foundations of Electrotechniqu and Electrotechnology, Faculty of Electric and Informa-tion Technologies, Lublin University of Technology, Nadbystrzycka 38A, 20-618 Lublin, Poland
Data publikacji: 23-11-2014
 
Adv. Sci. Technol. Res. J. 2014; 8(24):24–27
 
SŁOWA KLUCZOWE
STRESZCZENIE ARTYKUŁU
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.