diff --git a/TTS/speaker_encoder/config.json b/TTS/speaker_encoder/config.json
index 2a063fbf..67a7c40c 100644
--- a/TTS/speaker_encoder/config.json
+++ b/TTS/speaker_encoder/config.json
@@ -51,36 +51,42 @@
     },
     "datasets": 
         [
+            {
+                "name": "common_voice_wav",
+                "path": "../../audio-datasets/en/MozillaCommonVoice",
+                "meta_file_train": "train.tsv",
+                "meta_file_val": "test.tsv"
+            },
             {
                 "name": "voxceleb1",
                 "path": "../../audio-datasets/en/voxceleb1/",
                 "meta_file_train": null,
                 "meta_file_val": null
             },
-//            {
-//                "name": "voxceleb2",
-//                "path": "../../audio-datasets/en/voxceleb2/",
-//                "meta_file_train": null,
-//                "meta_file_val": null
-//            },
-//            {
-//                "name": "vctk",
-//                "path": "../../audio-datasets/en/VCTK-Corpus/",
-//                "meta_file_train": null,
-//                "meta_file_val": null
-//            },
-//            {
-//                "name": "libri_tts",
-//                "path": "../../audio-datasets/en/LibriTTS/train-clean-100",
-//                "meta_file_train": null,
-//                "meta_file_val": null
-//            },
-//            {
-//                "name": "libri_tts",
-//                "path": "../../audio-datasets/en/LibriTTS/train-clean-360",
-//                "meta_file_train": null,
-//                "meta_file_val": null
-//            },
+            {
+                "name": "voxceleb2",
+                "path": "../../audio-datasets/en/voxceleb2/",
+                "meta_file_train": null,
+                "meta_file_val": null
+            },
+            {
+                "name": "vctk",
+                "path": "../../audio-datasets/en/VCTK-Corpus/",
+                "meta_file_train": null,
+                "meta_file_val": null
+            },
+            {
+                "name": "libri_tts",
+                "path": "../../audio-datasets/en/LibriTTS/train-clean-100",
+                "meta_file_train": null,
+                "meta_file_val": null
+            },
+            {
+                "name": "libri_tts",
+                "path": "../../audio-datasets/en/LibriTTS/train-clean-360",
+                "meta_file_train": null,
+                "meta_file_val": null
+            },
             {
                 "name": "libri_tts",
                 "path": "../../audio-datasets/en/LibriTTS/train-other-500",
diff --git a/TTS/tts/datasets/preprocess.py b/TTS/tts/datasets/preprocess.py
index 40fc66dd..3bcf416c 100644
--- a/TTS/tts/datasets/preprocess.py
+++ b/TTS/tts/datasets/preprocess.py
@@ -161,7 +161,7 @@ def nancy(root_path, meta_file):
     return items
 
 
-def common_voice(root_path, meta_file):
+def common_voice_wav(root_path, meta_file):
     """Normalize the common voice meta data file to TTS format."""
     txt_file = os.path.join(root_path, meta_file)
     items = []
@@ -172,8 +172,8 @@ def common_voice(root_path, meta_file):
             cols = line.split("\t")
             text = cols[2]
             speaker_name = cols[0]
-            wav_file = os.path.join(root_path, "clips", cols[1] + ".wav")
-            items.append([text, wav_file, speaker_name])
+            wav_file = os.path.join(root_path, "clips", cols[1].replace(".mp3", ".wav"))
+            items.append([text, wav_file, 'MCV_' + speaker_name])
     return items
 
 
@@ -251,9 +251,9 @@ def vctk(root_path, meta_files=None, wavs_path='wav48'):
                 continue
         with open(meta_file) as file_text:
             text = file_text.readlines()[0]
-        wav_file = os.path.join(root_path, wavs_path, 'VCTK_' + speaker_id,
+        wav_file = os.path.join(root_path, wavs_path, speaker_id,
                                 file_id + '.wav')
-        items.append([text, wav_file, speaker_id])
+        items.append([text, wav_file, 'VCTK_' + speaker_id])
 
     return items
 
@@ -298,3 +298,5 @@ def _voxcel_x(root_path, voxcel_idx):
 
     with open(str(cache_to), 'r') as f:
         return [x.strip().split('|') for x in f.readlines()]
+
+
diff --git a/TTS/tts/utils/io.py b/TTS/tts/utils/io.py
index bf5e13d8..78e9b8b2 100644
--- a/TTS/tts/utils/io.py
+++ b/TTS/tts/utils/io.py
@@ -50,7 +50,7 @@ def save_best_model(target_loss, best_loss, model, optimizer, current_step, epoc
     if target_loss < best_loss:
         file_name = 'best_model.pth.tar'
         checkpoint_path = os.path.join(output_folder, file_name)
-        print(" > BEST MODEL : {}".format(checkpoint_path))
+        print(" >> BEST MODEL : {}".format(checkpoint_path))
         save_model(model, optimizer, current_step, epoch, r, checkpoint_path, model_loss=target_loss, **kwargs)
         best_loss = target_loss
     return best_loss