Feature Selection Enhancement and Feature Space Visualization for Speech-Based Emotion Recognition. (arXiv:2208.09269v1 [eess.SP])

Robust speech emotion recognition relies on the quality of the speech
features. We present speech features enhancement strategy that improves speech
emotion recognition. We used the INTERSPEECH 2010 challenge feature-set. We
identified subsets from the features set and applied Principle Component
Analysis to the subsets. Finally, the features are fused horizontally. The
resulting feature set is analyzed using t-distributed neighbour embeddings
(t-SNE) before the application of features for emotion recognition. The method
is compared with the state-of-the-art methods used in …

arxiv emotion feature feature selection space speech visualization