Generate a probabilistic vocalisation diagram through 'sampling'.
Usage
getSampledVocalMatrix(df, ...)
Value
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.
Arguments
df
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
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).
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.