Spectral methods in Polish emotional speech recognition

• Autorzy: Powroźnik P. , Czerwiński D.

Identyfikatory

DOI

10.12913/22998624/65138

• Języki publikacji: EN

Abstrakty

EN

In this article the issue of emotion recognition based on Polish emotional speech signal analysis was presented. 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. Speech signal has been processed by Artificial Neural Networks (ANN). The inputs for ANN were information obtained from signal spectrogram. Researches were conducted for three different spectrogram divisions. The ANN consists of four layers but the number of neurons in each layer depends of spectrogram division. Conducted researches focused on six emotional states: a neutral state, sadness, joy, anger, fear and boredom. The averange effectiveness of emotions recognition was about 80%.

Słowa kluczowe

EN

artificial neural network; spectrogram; emotional speech recognition

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2016
• Tom: Vol. 10, nr 32
• Strony: 73--81
• Opis fizyczny: Bibliogr. 18 poz., fig., tab.

Twórcy

autor

Powroźnik P.

• Institute of Computer Sciences, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland

autor

Czerwiński D.

• Institute of Computer Sciences, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.