redo demo predictor

CHANGELOG.md

@@ -1,6 +1,11 @@
 Changelog
 =========
 
+Version 0.81.2
+--------------
+* added a parselmouth.Praat error if pitch out of range
+* changed file path for demo_predictor
+
 Version 0.81.1
 --------------
 * fixed bugs in demo module 

data/asvp-esd/exp.ini

@@ -1,6 +1,6 @@
 [EXP]
-root = ./
-name = results/exp_asvp_aud
+root = ./results
+name = exp_asvp_aud1
 save = True
 [DATA]
 databases = ['train', 'test']
@@ -14,9 +14,9 @@ test.absolute_path = False
 test.split_strategy = test
 target = emotion
 ; no_reuse = True
-; labels =["boredom","neutral","happy", "sad","anger", "fear", "disgust", "surprise", "excited","pleasure","pain","disapointed"]
+labels =["boredom","neutral","happy", "sad","anger", "fear", "disgust", "surprise", "excited","pleasure","pain"]
 ; no_reuse = True
-labels =["neutral", "happy",  "sad", "anger"]
+; labels =["neutral", "happy",  "sad", "anger"]
 ; check_size = 1000
 ; min_duration_of_samples = 2
 [FEATS]

nkululeko/constants.py

@@ -1,2 +1,2 @@
-VERSION="0.81.1"
+VERSION="0.81.2"
 SAMPLING_RATE = 16000

nkululeko/data/dataset.py

@@ -162,7 +162,10 @@ def load(self):
                     if column not in [self.target, "age", "speaker", "gender"]:
                         df[column] = df_target[column]
             except audformat.core.errors.BadKeyError:
-                pass
+                if not self.is_labeled:
+                    self.util.error(
+                        f"Giving up: no target ({self.target}) column found"
+                    )
 
         if self.is_labeled:
             # remember the target in case they get labelencoded later

nkululeko/feat_extract/feinberg_praat.py

@@ -294,8 +294,8 @@ def compute_features(file_index):
                 f4_median,
             ) = measureFormants(sound, 75, 300)
             #        file_list.append(wave_file) # make an ID list
-        except statistics.StatisticsError as se:
-            print(f"error on file {wave_file}: {se}")
+        except (statistics.StatisticsError, parselmouth.PraatError) as errors:
+            print(f"error on file {wave_file}: {errors}")
 
         duration_list.append(duration)  # make duration list
         mean_F0_list.append(meanF0)  # make a mean F0 list