Investigation of glottal features and annotation procedures for speech emotion recognition

摘要

Speech emotion recognition is a still challenging problem despite having been investigated over the last couple of decades. Conventional speech emotion recognition performance is low, but this may be improved by considering new features and an annotation method. In this paper, firstly we use glottal features for speech emotion recognition to improve its performance because the emotions are related to glottal characteristics. Secondly emotional labels used as “correct” emotions are usually annotated by multiple annotators in the conventional approach, but this may be ambiguous due to the confusion created by using each annotator's criterion. In this paper, a single annotator gives emotional labels in an aim to obtain a unified criterion and we use these labels for speech emotion recognition to improve its performance. Finally, context information which is included in a speech segment before the utterance being annotated, will be considered.