divime_brm

divime description journal paper

To generate pyannote metrics

conda create --name pyannote-lena python=3.6 #only needed once

source activate pyannote-lena

pip install pyannote-metrics #only needed once

organize your rttms such that lines are ordered in increasing time

for j in yunres/.rttm ; do mv $j $j.unsorted ; done for j in yunres/.rttm.unsorted ; do sorted=echo $j | sed "s/.unsorted//" ; sort -n -k4 $j > $sorted ; done

for j in gold/.rttm ; do mv $j $j.unsorted ; done for j in gold/.rttm.unsorted ; do sorted=echo $j | sed "s/.unsorted//" ; sort -n -k4 $j > $sorted ; done

for j in yunnew/.rttm ; do mv $j $j.unsorted ; done for j in yunnew/.rttm.unsorted ; do sorted=echo $j | sed "s/.unsorted//" ; sort -n -k4 $j > $sorted ; done

Map the labels

You can change the mapping in labels_mapper.py

The -o option indicates if overlapping classes need to be aggregated as being "OVL"

python labels_mapper.py -p yunres/ -m gold python labels_mapper.py -p yunnew/ -m gold python labels_mapper.py -p gold/ -m gold -o

Evaluate lena performances (should not be run in the frontnode)

With -t being the task (identification, diarization or detection)

-m being the list of metrics

python compute_metrics.py -ref gold/mapped/ -hyp yunnew/mapped/ -t diarization -m diaer coverage homogeneity completeness purity