diff --git a/util/feeding.py b/util/feeding.py
index 983fdb9c..2c33d2ae 100644
--- a/util/feeding.py
+++ b/util/feeding.py
@@ -30,7 +30,10 @@ def read_csvs(csv_files):
     return pandas.concat(sets, join='inner', ignore_index=True)
 
 
-def samples_to_mfccs(samples, sample_rate, train_phase=False):
+def samples_to_mfccs(samples, sample_rate, train_phase=False, wav_filename=None):
+    if train_phase and sample_rate != FLAGS.audio_sample_rate:
+        tf.print('WARNING: sample rate of file', wav_filename, '(', sample_rate, ') does not match FLAGS.audio_sample_rate. This can lead to incorrect results.')
+
     spectrogram = contrib_audio.audio_spectrogram(samples,
                                                   window_size=Config.audio_window_samples,
                                                   stride=Config.audio_step_samples,
@@ -79,7 +82,7 @@ def samples_to_mfccs(samples, sample_rate, train_phase=False):
 def audiofile_to_features(wav_filename, train_phase=False):
     samples = tf.io.read_file(wav_filename)
     decoded = contrib_audio.decode_wav(samples, desired_channels=1)
-    features, features_len = samples_to_mfccs(decoded.audio, decoded.sample_rate, train_phase=train_phase)
+    features, features_len = samples_to_mfccs(decoded.audio, decoded.sample_rate, train_phase=train_phase, wav_filename=wav_filename)
 
     if train_phase:
         if FLAGS.data_aug_features_multiplicative > 0: