Title :
Comparative analysis between SROL - Romanian database and Emo - German database
Author :
Feraru, Silvia Monica ; Zbancioc, Marius Dan
Author_Institution :
Inst. of Comput. Sci., Iaşi, Romania
Abstract :
In this paper, we compared the recognition rate obtained with our instruments for the emotional states (happiness, fury, sadness and neutral tone) from the SROL and from the Emo databases. The main goal of this research is to validate the instruments used for the extracting of the features vectors applied for the automatic recognition of the emotions and the results presented in our previously papers, for the Romanian language. The global recognition percents of the emotions is around 90% using Weighted K-Nearest Neighbors - WKNN classifier for the SROL Romanian database, respectively 86% for Emo German database. The recognition rates are close to the other studies from the literatures, for German database.
Keywords :
audio databases; emotion recognition; pattern classification; speech processing; Emo German database; SROL Romanian database; WKNN classifier; automatic emotion recognition; emotional states; features vectors; global recognition percents; recognition rate; weighted k-nearest neighbors; Databases; Emotion recognition; Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Support vector machines;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2015 International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4673-7487-3
DOI :
10.1109/ISSCS.2015.7204015
