Abstract
People propose various ideas and opinions in public organization and conferences. In order to reach an agreement among the participants, discussion is essential. During a discussion, difference in the processing of forming an agreement will affect the conclusion. So major statements should be analyzed for building a consensus. However, in the process of forming consensus, a proper understanding of the statements acting as the basis among various discussants, is necessary. In this study, the relationship between the consciousness of the conversation and the state of support is discovered through the speech emotional perception of the conversation. Also, the state of support—supportive, negative and unknown, are inferred. In addition to listening experiments on the emotions and support states, the application of the analysis of the speech emotion recognition process is discussed on the basis of verifying the emotion of speech and the dependence of the support state. The accuracy of the average objective recognition rate can be increased to 75% in the formation of the consensus during speech conversation.
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Acknowledgements
Supported by a grant from Natural science fund for colleges and universities in Jiangsu Province (No. 17KBJ520002) and Top-notch Academic Programs Project of Jiangsu Higher Education Institutions (TAPP) under Grant No. PPZY2015A090.
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He, N., Liu, Y. (2019). An Application of Support States from Speech Emotions in Consensus Building. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_34
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DOI: https://doi.org/10.1007/978-981-13-5841-8_34
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