diff --git a/BBPs/BBPUtils.py b/BBPs/BBPUtils.py
index 02d765ca0f69c6e5a0398d391bee8d0cebe772c5..ff3a73bdfaffdcfc7aeed245d3dbf0801c49779d 100755
--- a/BBPs/BBPUtils.py
+++ b/BBPs/BBPUtils.py
@@ -13,7 +13,7 @@ import pandas as pd
 from scipy.signal import butter, filtfilt
 
 #%% Functions process
-def import_csv(csv_name, folder, separator, useless=True):
+def import_csv(csv_name, folder, useless=True, slash="/"):
     """
     Parameters
     ----------
@@ -35,7 +35,7 @@ def import_csv(csv_name, folder, separator, useless=True):
     data = []
     
     # read data csv
-    with open(folder + separator + csv_name, newline="") as csv_file:
+    with open(folder + slash + csv_name, newline="") as csv_file:
         lines = csv.reader(csv_file, delimiter=',')
         for row in lines:
             data = data + [row]
@@ -72,7 +72,7 @@ def get_csv(csv_folder, slash="\\"):
     -------
     data_20_21 : DATAFRAME
         Contains the inforamtion inside the .CSVs.
-    audio_paths : LIST
+    sorted_names : LIST
         Names corresponding to audio files in the first column of the .CSVs.
     """
     csv_names = [a for a in os.listdir(csv_folder) if a.endswith('.csv')]
@@ -92,8 +92,19 @@ def get_csv(csv_folder, slash="\\"):
     for filename in data_frame["Fichier Audio"]:
         if filename.endswith(".wav"):
             audio_names = np.append(audio_names, filename.replace('/', slash))
+
+    # sort audio files names
+    # We want to sort it by year
+    years = np.unique([path[4:8] for path in audio_names])
+    sorted_names = np.array([], dtype='<U49')
+    # and inside each year, sort it by date.
+    for year in years:
+        idx_to_sort = np.where(np.array([path[4:8] for path in audio_names]) == year)[0]
+        temp_path = np.copy(audio_names[idx_to_sort])
+        temp_path.sort()
+        sorted_names = np.append(temp_path, sorted_names)
             
-    return data_frame, audio_names
+    return data_frame, sorted_names
 
 def butter_pass_filter(data, cutoff, fs, order=1, mode='high'):
     """
diff --git a/Clicks/ClickUtils.py b/Clicks/ClickUtils.py
index 65223dbadb8004481ebfd03d4db925c4b52262f8..280852a325648df9d5fce0e13ece42a1de7e1885 100755
--- a/Clicks/ClickUtils.py
+++ b/Clicks/ClickUtils.py
@@ -76,7 +76,7 @@ def get_csv(csv_folder, slash="\\"):
     -------
     data_20_21 : DATAFRAME
         Contains the inforamtion inside the .CSVs.
-    audio_paths : LIST
+    sorted_names : LIST
         Names corresponding to audio files in the first column of the .CSVs.
     """
     csv_names = [a for a in os.listdir(csv_folder) if a.endswith('.csv')]
@@ -96,8 +96,19 @@ def get_csv(csv_folder, slash="\\"):
     for filename in data_frame["Fichier Audio"]:
         if filename.endswith(".wav"):
             audio_names = np.append(audio_names, filename.replace('/', slash))
+
+    # sort audio files names
+    # We want to sort it by year
+    years = np.unique([path[4:8] for path in audio_names])
+    sorted_names = np.array([], dtype='<U49')
+    # and inside each year, sort it by date.
+    for year in years:
+        idx_to_sort = np.where(np.array([path[4:8] for path in audio_names]) == year)[0]
+        temp_path = np.copy(audio_names[idx_to_sort])
+        temp_path.sort()
+        sorted_names = np.append(temp_path, sorted_names)
             
-    return data_frame, audio_names
+    return data_frame, sorted_names
 
 def butter_pass_filter(data, cutoff, fs, order=1, mode='high'):
     """
diff --git a/Clicks/__pycache__/ClickUtils.cpython-39.pyc b/Clicks/__pycache__/ClickUtils.cpython-39.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..637b1f10f4e9ed909a15627bce8f38dc038a2d95
Binary files /dev/null and b/Clicks/__pycache__/ClickUtils.cpython-39.pyc differ
diff --git a/Whistles/WhistleUtils.py b/Whistles/WhistleUtils.py
index 7c7c5e4bed80ff468ebd5a537c9af7acfce9642c..a285afde7b259e897fdb3ecc0f7c407b47b1e0c7 100755
--- a/Whistles/WhistleUtils.py
+++ b/Whistles/WhistleUtils.py
@@ -77,15 +77,15 @@ def get_csv(csv_folder, slash="\\"):
     -------
     data_20_21 : DATAFRAME
         Contains the inforamtion inside the .CSVs.
-    audio_paths : LIST
+    sorted_names : LIST
         Names corresponding to audio files in the first column of the .CSVs.
     """
     csv_names = [a for a in os.listdir(csv_folder) if a.endswith('.csv')]
 
     # import data
-    data = import_csv(csv_names[0], csv_folder, slash=slash)
+    data = import_csv(csv_names[0], csv_folder, separator=slash)
     for i in range(1,len(csv_names)):
-        data = data + import_csv(csv_names[i], csv_folder, slash=slash)[1:]
+        data = data + import_csv(csv_names[i], csv_folder, separator=slash)[1:]
     data_frame = pd.DataFrame(data=data[:][1:], columns=data[:][0])
 
     # change dtype for selected columns
@@ -97,8 +97,19 @@ def get_csv(csv_folder, slash="\\"):
     for filename in data_frame["Fichier Audio"]:
         if filename.endswith(".wav"):
             audio_names = np.append(audio_names, filename.replace('/', slash))
+
+    # sort audio files names
+    # We want to sort it by year
+    years = np.unique([path[4:8] for path in audio_names])
+    sorted_names = np.array([], dtype='<U49')
+    # and inside each year, sort it by date.
+    for year in years:
+        idx_to_sort = np.where(np.array([path[4:8] for path in audio_names]) == year)[0]
+        temp_path = np.copy(audio_names[idx_to_sort])
+        temp_path.sort()
+        sorted_names = np.append(temp_path, sorted_names)
             
-    return data_frame, audio_names
+    return data_frame, sorted_names
 
 #%% Trajectories algorithms
 def get_local_maxima(spectrogram, spectrogram2, hardness, threshold=10e-5):