Automatic Detection of Depressive States from Speech-Reference-Cited by-同舟云学术

Automatic Detection of Depressive States from Speech

Published:2017-08-30 Issue: Volume: Page:301-314
ISSN:2190-3018
Container-title:Multidisciplinary Approaches to Neural Computing
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Author:

Mendiratta Aditi,Scibelli Filomena,Esposito Antonietta M.,Capuano Vincenzo,Likforman-Sulem Laurence,Maldonato Mauro N.,Vinciarelli Alessandro,Esposito Anna

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-56904-8_29

Reference30 articles.

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3. Cordasco, G., Esposito, M., Masucci, F., Riviello, M.T., Esposito, A., Chollet, G., Schlögl, S., Milhorat, P., Pelosi, G.: Assessing voice user interfaces: the assist system prototype. In: Proceedings of 5th IEEE international Conference on Cognitive Info Communications, Vietri sul Mare, 5–7 Nov, pp. 91–96 (2014)

4. Esposito, A., Esposito, A.M., Likforman-Sulem, L., Maldonato, N.M., Vinciarelli, A.: On the significance of speech pauses in depressive disorders: results on read and spontaneous narratives. In: Esposito, A., et al. (eds.) Springer SIST series on Recent Advances in Nonlinear Speech Processing, vol. 48, pp. 73–82 (2016)

5. Esposito, A., Jain, L.C.: Modeling social signals and contexts in robotic socially believable behaving systems. In Esposito, A., Jain, L.C. (eds.) Toward Robotic Socially Believable Behaving Systems Volume II—“Modeling Social Signals” Springer International Publishing Switzerland, ISRL series 106, pp. 5–13 (2016)

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