Parametric Speech Emotion Recognition Using Neural Network
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
The aim of this thesis work is to investigate the algorithm of speech emotion recognition using MATLAB. Firstly, five most commonly used features are selected and extracted from speech signal. After this, statistical values such as mean, variance will be derived from the features. These data along with their related emotion target will be fed to MATLAB neural network tool to train and test to make up the classifier. The overall system provides a reliable performance, classifying correctly more than 82% speech samples after properly training.
Place, publisher, year, edition, pages
2014. , 32 p.
Speech Emotion, Neural Network
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:hig:diva-17694OAI: oai:DiVA.org:hig-17694DiVA: diva2:756207
Subject / course
Electronics – bachelor’s programme (in eng)
Ferrer Coll, Javier