Abstract:
This paper proposes a SER (Speech Emotion Recognition) framework using user self-referential speech features, which reflect the ROC (Rate of Change) of the corresponding ...Show MoreMetadata
Abstract:
This paper proposes a SER (Speech Emotion Recognition) framework using user self-referential speech features, which reflect the ROC (Rate of Change) of the corresponding feature value according to the user's emotion states. The experiments shows that using the proposed self-referential features in addition to the absolute value of speech features can improve the SER accuracy.
Date of Conference: 09-12 October 2018
Date Added to IEEE Xplore: 13 December 2018
ISBN Information:
Print on Demand(PoD) ISSN: 2378-8143