Abstract
The question of detecting pertinent information about an individual from properties of their speech is not a new one. Much research has been done to explore the manifestation of emotions in voice. The work presented in this paper proposes to apply these efforts in the domain of depression assessment using Case Based Reasoning. Cases are constructed using the recordings of responses to a questionnaire from English speaking Males and Females, and Spanish speaking Males and Females. We apply the exemplar and instance approach to classify new test cases. Experimental results show that the construction of cases using sound waveform statistics can be utilized by a case based reasoner to classify new instances correctly.
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© 2005 Springer-Verlag Berlin Heidelberg
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Guillén, R., Usrey, R. (2005). Case Based Reasoning Using Speech Data for Clinical Assessment. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_14
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DOI: https://doi.org/10.1007/11504894_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
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