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Speech Emotion Recognition Framework based on User Self-referential Speech Features | IEEE Conference Publication | IEEE Xplore

Speech Emotion Recognition Framework based on User Self-referential Speech Features


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 More

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
Conference Location: Nara, Japan

References

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