A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
Speech emotion is divided into four categories, Fear, Happy, Neutral and Surprise in this paper. Traditional features and their statistics are generally applied to recognize speech emotion. In order to quantify each feature's contribution to emotion recognition, a method based on the Back Propagation (BP) neural network is adopted. Then we can obtain the optimal subset of the features. What's more, two new characteristics of speech emotion, MFCC feature extracted from the fundamental frequencydoi:10.4236/jbise.2016.910b005 fatcat:zstjq5uudffxnfssuotksgv4ty