Install packages

$ conda create --name cscores --file requirements.txt  
$ source activate cscores
$ pip install editdistance 

Configure

Edit the config file, you should set the kaldi alignement phone file for the language you are evaluating

example of use

In the test directory I include three files:

• mandarin.phn: the gold phoneme alignments
• mandarin.txt: the baseline of ZRTools used in the Challenge 2017 in the tde evaluation format.
• mandarin.out: the raw output of ZRTools discorery for the Challenge 2017, in the ZRTools format.

the script use to compute the ned for a file with the class tde format (mandarin.txt) is compute_ned.py, for example for the test mandarin.txt file you can do:

$ . config
$ ./compute_ned.py test/mandarin.txt | tee mandarin.log

to decode the log file I use:

$ sed -rn '/^.*within: NED=(.*) std=.*pairs=(.*)$/\1 \2/p' mandarin.log

to compute ned from the raw output of ZRTools I do:

$ ./zrtools2eval.py test/mandarin.out > mandarin.class 
$ ./compute_ned.py mandarin.class | tee mandarin.log