getSampledVocalMatrix {vocaldia}

getSampledVocalCountMatrix: generate vocalisation diagrams

Description

Generate a probabilistic vocalisation diagram through 'sampling'.

Usage

getSampledVocalMatrix(df, ...)

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

Details

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).

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.

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.

See Also

getSampledVocalCountMatrix

Examples

data(vocdia) 
getSampledVocalMatrix(subset(atddia,
         id=='Abbott_Maddock_01'),nodecolumn='speaker', individual=TRUE)