Corpus as text vector. May be a corpus_frame object
speaker
Vector of speaker labels. Should be the same length as
x
filter
if not NULL, a corpus text_filter
smooth
value for smoothing. Defaults to 0.5
nfold
Number of folds for cross-validation. Defaults to 5
cutoff_pcts
Vector of cutoff percentages to test. Defaults to
c(50, 60, 70, 80, 90, 99)
Value
List of: best cutoff percent with the best speaker classification
rate; cutoff percentages that were tested; matrix of the mean percentage of
incorrectly identified speakers for each cutoff percent and fold; and the
number of folds for cross-validation