.

formants.py

@@ -5,6 +5,7 @@ from helpers.textgrid import *
 from helpers.utilities import *
 import shutil
 
+
 def predict_from_times(wav_filename, preds_filename, begin, end):
     tmp_features_filename = tempfile._get_default_tempdir() + "/" + next(tempfile._get_candidate_names()) + ".txt"
     print tmp_features_filename

load_tracking_model.lua

@@ -35,7 +35,7 @@ for line in f_file:lines('*l') do
 	end
 end
 local X = data[{{},{2,-1}}]
-model = torch.load('Tracking_model.dat')
+model = torch.load('tracking_model.dat')
 local myPrediction = model:forward(X)
 p_file:write('NAME,F1,F2,F3,F4\n')
 for p=1, (#myPrediction)[1] do