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Generate a probabilistic vocalisation diagram through 'sampling'.
getSampledVocalMatrix(df, ...)a vocaldia object, consisting of a vocalisation matrix (vocmatrix) where cell <m,n> contains the transition probability from node n to node m, and a table of prior probabilities (stationary distribution) per node.
a data frame consisting, minimally, of a column for vocalisation/pause start times, a column for end times, and a column identifying the speaker, speaker role or 'Floor' (for silences).
general parameter to be passed to
getSampledVocalCountMatrix
Saturnino Luz luzs@acm.org
A vocalisation diagram (vocaldia) is a representation of a dialogue as a Markov process whose cell <m,n> contains the transition probability from node n to node m).
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.
getSampledVocalCountMatrix
data(vocdia)
getSampledVocalMatrix(subset(atddia,
id=='Abbott_Maddock_01'),nodecolumn='speaker', individual=TRUE)
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