vocaldia-package {vocaldia}

vocaldia: Create and Manipulate Vocalisation Diagrams

Description

Create adjacency matrices of vocalisation graphs from dataframes containing sequences of speech and silence intervals, transforming these matrices into Markov diagrams, and generating datasets for classification of these diagrams by 'flattening' them and adding global properties (functionals) etc. Vocalisation diagrams date back to early work in psychiatry (Jaffe and Feldstein, 1970) and social psychology (Dabbs and Ruback, 1987) but have only recently been employed as a data representation method for machine learning tasks including meeting segmentation (Luz, 2012) doi: 10.1145/2328967.2328970 and classification (Luz, 2013) doi: 10.1145/2522848.2533788.

Author(s)

Saturnino Luz [e-mail]

References

S. Luz. Automatic identification of experts and performance prediction in the multimodal math data corpus through analysis of speech interaction. In Proceedings of the 15th ACM on International Conference on Multimodal Interaction, ICMI'13, pages 575–582, New York, NY, USA, 2013. ACM.

S. Luz. The non-verbal structure of patient case discussions in multidisciplinary medical team meetings. ACM Transactions on Information Systems, 30(3):17:1–17:24, 2012

Dabbs, J. M. J. and Ruback, B. Dimensions of group process: Amount and structure of vocal interaction. Advances in Experimental Social Psychology 20, 123-169, 1987.

Jaffe , J. and Feldstein, S. Rhythms of dialogue. ser. Personality and Psychopathology. Academic Press, New York, 1976.

See Also

Useful links:

• https://git.ecdf.ed.ac.uk/sluzfil/vocaldia

• Report bugs at https://git.ecdf.ed.ac.uk/sluzfil/vocaldia/-issues