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Conference Paper
Speech Emotion Recognition Framework based on User Self-referential Speech Features
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- Authors
- Kyoungju Noh, Seungeun Chung, Jiyoun Lim, Gague Kim, Hyuntae Jeong
- Issue Date
- 2018-10
- Citation
- Global Conference on Consumer Electronics (GCCE) 2018, pp.341-342
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Absolute value, Feature values, Self-referential, Speech Emotion recognition, Speech features, rate of change, user's emotion