POLISH EMOTIONAL SPEECH RECOGNITION USING ARTIFICAL NEURAL NETWORK

Paweł Powroźnik

doi:10.12913/22998624/562

Abstract

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.

Highlights

The recognition of the emotional state of a speaker, based on the analysis of speech signals, is a relatively new issue, its significance is increasing rapidly
Among the potential applications of algorithmically modified emotional speech those associated with marketing and telephone contact with the client should be replaced [1]
The third part includes the analysis of the available algorithms, research methods, and parameters for the Polish emotional speech and presents the obtained results and suggestions for improving the adapted research methods

Summary

INTRODUCTION

The recognition of the emotional state of a speaker, based on the analysis of speech signals, is a relatively new issue, its significance is increasing rapidly. Among the potential applications of algorithmically modified emotional speech those associated with marketing and telephone contact with the client should be replaced [1]. Another group of applications involves the use of driver’s emotional state by onboard computers. This kind of systems may be installed in vehicles, which can initiate appropriate safety procedures based on collected data [5]. The third part includes the analysis of the available algorithms, research methods, and parameters for the Polish emotional speech and presents the obtained results and suggestions for improving the adapted research methods

ANALYSIS OF ISSUES

SPEECH SIGNALS PARAMETERS AND PROPOSED CLASSIFIER

ENERGY AND AVARAGE VALUE OF SPEECH SIGNAL

Findings

CONCLUSIONS