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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References
Darwin, C.: The Expression of the Emotions in Man and Animals (1872)
Plutchick, R.: The Psychology and Biology of Emotion. Harper Collins Publishers (1994)
Gómez, P., Fernández, R., Rodellar, V., Nieto, V., Álvarez, A., Mazaira, L.M., Martínez, R., Godino, J.I.: Glottal Source Biometrical Signature for Voice Pathology Detection. Speech Comm. 51, 759–781 (2009)
Luschei, E.S., Ramig, L.O., Baker, K.L., Smith, M.E.: Discharge characteristics of laryngeal single motor units during phonation in young and older adults and in persons with Parkinson disease. J. Neurophysiol. 81, 2131–2139 (1999)
Fant, G.: Acoustic Theory of Speech Production, 2nd edn. Mouton (1970)
Story, B., Titze, I.: Voice simulation with a body-cover model of the vocal folds. J. Acoust. Soc. Am. 97(2), 1249–1260 (1995)
Barkmeier, J., Hoffman, H.: Synchrony of laryngeal muscle activity in persons with vocal tremor. Arch. Otolaryngol. Head Neck Surg. 129(3), 313–323 (2003)
Pérez, K., Ramig, L., Smith, M., Dromey, C.: The Parkinson larynx: tremor and videostroboscopic findings. J. Voice 10(4), 354–361 (1996)
Deller, J.R., Proakis, J.G., Hansen, J.H.L.: Discrete-Time Processing of Speech Signals. MacMillan Pub. Co., Englewood Cliffs (1993)
Rodellar,V., Palacios, D., Bartolomé, E., Gómez, P.: Vocal Fold Stiffness Estimates for Emotion Description in Speech. Proceedings of BIOSIGNALS 2013 – 6th International Conference on Bio-inspired Systems and Signal Processing, pp. 112-119 (2013)
Ververidis, D., Kotropoulos, C.: A Review of Emotional Speech Databases. In: Proc. 9th Panhellenic Conference on Informatics (PCI), Thessaloniki, Greece, pp. 560–574 (2003)
Ramakrishnan, S.: Recognition of Emotion from Speech: A Review. In: Speech Enhancement, Modeling and Recognition-Algorithms and Applications. InTech (2012)
Ververidis, D., Kotsia, I., Kotropoulos, C., Pitas, I.: Multi-modal emotion-related data collection within a virtual earthquake emulator. In: Proc. Inter. Conf. Language Resources and Evaluation (LREC), Morocco (2008)
Hasrul, M., Hariharan, M., Sazali, Y.: Human Affective (Emotion) Behavior Analysis using Speech Signals: A Review. In: Proceedings of the 2012 International Conference on Biomedical Engineering, ICoBE (February 2012)
Bhutekar, S., Chandak, M.: Designing and Recording Emotional Speech Databases. International Journal of Computer Applications (IJCA): Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012) 4, 6–10 (2012)
Frank, M.G., Ekman, P.: Appearing truthful generalizes across different deception situations. Journal of Personality and Social Psychology 86, 486–495 (2004)
Arciuli, J., Villar, G., Mallard, D.: Lies, Lies and More Lies. In: 31st Annual Meeting of the Cognitive Science Society (CogSci 2009), pp. 2329–2334 (2009)
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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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