Import all the files from a specific annotator
extractDataCR( set.type, ChildRecordings, LENA.OL = FALSE, verbose = TRUE, use_data_table = FALSE, threads = 1 )
set.type | : a string containing th name of the annotator present in the "set" column meta |
---|---|
ChildRecordings | : a ChildRecordings class |
LENA.OL | : add the LENA overlap method. The overlap method will correct onset and offset when speech overlap by removing part that overlap. |
verbose | : if TRUE information will be printed out in the console |
use_data_table | : use the data.table package to read the .csv annotation data (depending on the operating system and the number of threads used it can be 3 to 5 times faster than 'read.csv') |
threads | the number of threads to run in parallel |
A class extractDataCR with a data.frame with all the aggregated data
if (FALSE) { library(ChildRecordsR) path = "/mnt/94707AA4707A8CAC/CNRS/corpus/vandam-daylong-demo" CR = ChildRecordings(path) rez = extractDataCR( "vtc", CR, verbose = T, use_data_table = T, threads = 2) head(rez$data) # With LENA overlap method rez = extractDataCR("vtc", CR, LENA.OL = T, verbose = T, use_data_table = T, threads = 2) }