Characteristics of human auditory model based on compensation of glottal features in speech emotion recognition
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference14 articles.
1. Spoken emotion recognition through optimum-path forest classification using glottal features;Iliev;Comput. Speech Lang.,2010
2. Speech emotion recognition approaches in human computer interaction;Ramakrishnan;Telecommun. Syst.,2013
3. Study of wavelet packet energy entropy for emotion classification in speech and glottal signals;He,2013
4. Emotional speech recognition: Resources, features, and methods;Ververidis;Speech Commun.,2006
5. Improved emotion recognition using Gaussian mixture model and extreme learning machine in speech and glottal signals;Muthusamy;Math. Probl. Eng.,2015
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