diff --git a/vocoder_train.py b/vocoder_train.py
deleted file mode 100644
index 2a90cfd48..000000000
--- a/vocoder_train.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import argparse
-from pathlib import Path
-
-from utils.argutils import print_args
-from vocoder.train import train
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(
-        description="Trains the vocoder from the synthesizer audios and the GTA synthesized mels, "
-                    "or ground truth mels.",
-        formatter_class=argparse.ArgumentDefaultsHelpFormatter
-    )
-
-    parser.add_argument("run_id", type=str, help= \
-        "Name for this model. By default, training outputs will be stored to saved_models/<run_id>/. If a model state "
-        "from the same run ID was previously saved, the training will restart from there. Pass -f to overwrite saved "
-        "states and restart from scratch.")
-    parser.add_argument("datasets_root", type=Path, help= \
-        "Path to the directory containing your SV2TTS directory. Specifying --syn_dir or --voc_dir "
-        "will take priority over this argument.")
-    parser.add_argument("--syn_dir", type=Path, default=argparse.SUPPRESS, help= \
-        "Path to the synthesizer directory that contains the ground truth mel spectrograms, "
-        "the wavs and the embeds. Defaults to <datasets_root>/SV2TTS/synthesizer/.")
-    parser.add_argument("--voc_dir", type=Path, default=argparse.SUPPRESS, help= \
-        "Path to the vocoder directory that contains the GTA synthesized mel spectrograms. "
-        "Defaults to <datasets_root>/SV2TTS/vocoder/. Unused if --ground_truth is passed.")
-    parser.add_argument("-m", "--models_dir", type=Path, default="saved_models", help=\
-        "Path to the directory that will contain the saved model weights, as well as backups "
-        "of those weights and wavs generated during training.")
-    parser.add_argument("-g", "--ground_truth", action="store_true", help= \
-        "Train on ground truth spectrograms (<datasets_root>/SV2TTS/synthesizer/mels).")
-    parser.add_argument("-s", "--save_every", type=int, default=1000, help= \
-        "Number of steps between updates of the model on the disk. Set to 0 to never save the "
-        "model.")
-    parser.add_argument("-b", "--backup_every", type=int, default=25000, help= \
-        "Number of steps between backups of the model. Set to 0 to never make backups of the "
-        "model.")
-    parser.add_argument("-f", "--force_restart", action="store_true", help= \
-        "Do not load any saved model and restart from scratch.")
-    args = parser.parse_args()
-
-    # Process the arguments
-    if not hasattr(args, "syn_dir"):
-        args.syn_dir = args.datasets_root / "SV2TTS" / "synthesizer"
-    if not hasattr(args, "voc_dir"):
-        args.voc_dir = args.datasets_root / "SV2TTS" / "vocoder"
-    del args.datasets_root
-    args.models_dir.mkdir(exist_ok=True)
-
-    # Run the training
-    print_args(args, parser)
-    train(**vars(args))