Abstract
Most of the parameters proposed for the characterization of the emotion in speech concentrate their attention on phonetic and prosodic features. Our approach goes beyond by trying to relate the biometrical signature of voice with a possible neural activity that might generate voice production. The present study affords emotional differentiation in speech from the behavior of the biomechanical stiffness and cyclicality estimates, indicators of tremor. The emotion under study is the stress produced when a speaker has to defend an idea opposite to his/her thoughts or feelings and compared when his/her speech is self-consistent. The results presented show that females tend to relax vocal folds and decrease tremor and males tend to show the opposite behavior.
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Rodellar-Biarge, V., Palacios-Alonso, D., Bartolomé, E., Gómez-Vilda, P. (2013). Emotional Stress Detection in Contradictory versus Self-consistent Speech by Means of Voice Biometrical Signature. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Models in Computation and Biology. IWINAC 2013. Lecture Notes in Computer Science, vol 7930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38637-4_8
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DOI: https://doi.org/10.1007/978-3-642-38637-4_8
Publisher Name: Springer, Berlin, Heidelberg
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