Gender dependent word-level emotion detection using global spectral speech features

In this study, global spectral features extracted from word and sentence levels are studied for speech emotion recognition. MFCC (Mel Frequency Cepstral Coefficient) were used as spectral information for recognition purpose. Global spectral features representing gross statistics such as mean of MFCC...

Full description

Saved in:
Bibliographic Details
Main Author: Siddique, Haris
Format: Thesis
Published: 2015
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!