Speech emotion recognition based on formant characteristics feature extraction and phoneme type convergence

Author:

Liu Zhen-Tao,Rehman Abdul,Wu Min,Cao Wei-Hua,Hao Man

Funder

Wuhan Science and Technology Bureau Applied Fundamental Research of Wuhan

National Natural Science Foundation of China

Hubei Province Natural Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Language: Its structure and use;Finegan,2014

2. Towards emotion recognition in texts–a sound-symbolic experiment;Slavova;Int. J. Cognitive Res. Sci., Eng. Educ.,2019

3. Emotional sound symbolism: Languages rapidly signal valence via phonemes;Adelman;Cognition,2018

4. A. Aryani, M. Kraxenberger, S. Ullrich, A.M. Jacobs, M. Conrad, Measuring the basic affective tone of poems via phonological saliency and iconicity., Psychology of Aesthetics, Creativity, and the Arts 10 (2) (2016) 191.

5. M. Neumann, N.T. Vu, Attentive convolutional neural network based speech emotion recognition: A study on the impact of input features, signal length, and acted speech, arXiv preprint arXiv:1706.00612.

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