diff --git a/crossai/performance/batch_pilot_evaluation.py b/crossai/performance/batch_pilot_evaluation.py
index 8bf6600..17c65b1 100644
--- a/crossai/performance/batch_pilot_evaluation.py
+++ b/crossai/performance/batch_pilot_evaluation.py
@@ -103,7 +103,7 @@ def batch_evaluate_audio(model, folder, classes: list = None,
                             segments=segments)
 
                 if pipeline is not None:
-                    eval_object = pipeline.fit_transform(eval_object)
+                    eval_object = pipeline.transform(eval_object)
 
                 filename = file.replace(file.split(".")[-1], "json")
 
diff --git a/crossai/performance/loader/_audio.py b/crossai/performance/loader/_audio.py
index 15c19ea..77bf48e 100644
--- a/crossai/performance/loader/_audio.py
+++ b/crossai/performance/loader/_audio.py
@@ -35,9 +35,10 @@ def audio_loader(filename, classes, sampling_rate=22500):
                                     len(signal),
                                     sampling_rate=sampling_rate)[0]
     # create the object
-    df = pd.DataFrame(columns=['data', 'label'])
+    df = pd.DataFrame(columns=['data', 'label', 'filename'])
     df['data'] = [signal]
     df['label'] = [labels]
+    df['filename'] = [filename]
 
     crossai_object = Audio(df)
 
diff --git a/crossai/pipelines/timeseries.py b/crossai/pipelines/timeseries.py
index 48de3f5..550ddda 100644
--- a/crossai/pipelines/timeseries.py
+++ b/crossai/pipelines/timeseries.py
@@ -185,10 +185,12 @@ def transform(self, X, y=None):
                     Z.append(unique[np.argmax(counts)])
             else:
                 Z.append(np.repeat(X.labels[i], len(Y[i])))
-                K.append(np.repeat(X.filename[i], len(Y[i])))
+            
+            K.append(np.repeat(X.filename[i], len(Y[i])))
 
-        X.data = list(np.concatenate(Y, axis=0))
         X.filename = list(np.concatenate(K, axis=0))
-        X.labels = list(np.concatenate(Z, axis=0))
+        X.data = list(np.concatenate(Y, axis=0))
+
+        X.labels = list(Z)
 
         return X