Master Tesia
Tituloa:
Emotion Recognition from Speech using Machine Learning algorithms
Egilea:
Natallia Chaiko
Abstract:
Speech emotion recognition (SER) is one of the most popular research directions
nowadays, however, most of the solutions suggested by the researchers are tested on
different databases and different features, which makes it impossible to compare their
results. In this work, we aim to compare three of the most commonly used speech emotion
classifiers on the database of spontaneous emotional speech to find the most successful
one. Three feature sets have also been used in attempt to find the best speech signal
representation.
After a number of experiments, SVM has turned out the best of the three solutions on the
classification of two and three classes of emotions.
Keywords: emotion, speech emotion recognition, SER systems, SVM, DNN, LSTM
Fitxategia:
Tutorea:
Eva Navas and Roberto Zamparelli
Urtea:
2019
Esleitua: