diff --git a/TTS/tts/utils/generic_utils.py b/TTS/tts/utils/generic_utils.py
index c58f37c9..d2725eee 100644
--- a/TTS/tts/utils/generic_utils.py
+++ b/TTS/tts/utils/generic_utils.py
@@ -242,32 +242,32 @@ def check_config_tts(c):
     check_argument("trim_db", c["audio"], restricted=True, val_type=int)
 
     # training parameters
-    check_argument("batch_size", c, restricted=True, val_type=int, min_val=1)
-    check_argument("eval_batch_size", c, restricted=True, val_type=int, min_val=1)
-    check_argument("r", c, restricted=True, val_type=int, min_val=1)
-    check_argument("gradual_training", c, restricted=False, val_type=list)
-    check_argument("mixed_precision", c, restricted=False, val_type=bool)
+    # check_argument('batch_size', c, restricted=True, val_type=int, min_val=1)
+    # check_argument('eval_batch_size', c, restricted=True, val_type=int, min_val=1)
+    check_argument('r', c, restricted=True, val_type=int, min_val=1)
+    check_argument('gradual_training', c, restricted=False, val_type=list)
+    # check_argument('mixed_precision', c, restricted=False, val_type=bool)
     # check_argument('grad_accum', c, restricted=True, val_type=int, min_val=1, max_val=100)
 
     # loss parameters
-    check_argument("loss_masking", c, restricted=True, val_type=bool)
-    if c["model"].lower() in ["tacotron", "tacotron2"]:
-        check_argument("decoder_loss_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("postnet_loss_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("postnet_diff_spec_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("decoder_diff_spec_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("decoder_ssim_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("postnet_ssim_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("ga_alpha", c, restricted=True, val_type=float, min_val=0)
-    if c["model"].lower in ["speedy_speech", "align_tts"]:
-        check_argument("ssim_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("l1_alpha", c, restricted=True, val_type=float, min_val=0)
-        check_argument("huber_alpha", c, restricted=True, val_type=float, min_val=0)
+    # check_argument('loss_masking', c, restricted=True, val_type=bool)
+    if c['model'].lower() in ['tacotron', 'tacotron2']:
+        check_argument('decoder_loss_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('postnet_loss_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('postnet_diff_spec_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('decoder_diff_spec_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('decoder_ssim_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('postnet_ssim_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('ga_alpha', c, restricted=True, val_type=float, min_val=0)
+    if c['model'].lower in ["speedy_speech", "align_tts"]:
+        check_argument('ssim_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('l1_alpha', c, restricted=True, val_type=float, min_val=0)
+        check_argument('huber_alpha', c, restricted=True, val_type=float, min_val=0)
 
     # validation parameters
-    check_argument("run_eval", c, restricted=True, val_type=bool)
-    check_argument("test_delay_epochs", c, restricted=True, val_type=int, min_val=0)
-    check_argument("test_sentences_file", c, restricted=False, val_type=str)
+    # check_argument('run_eval', c, restricted=True, val_type=bool)
+    # check_argument('test_delay_epochs', c, restricted=True, val_type=int, min_val=0)
+    # check_argument('test_sentences_file', c, restricted=False, val_type=str)
 
     # optimizer
     check_argument("noam_schedule", c, restricted=False, val_type=bool)
@@ -319,24 +319,23 @@ def check_config_tts(c):
     check_argument("encoder_type", c, restricted=not is_tacotron(c), val_type=str)
 
     # tensorboard
-    check_argument("print_step", c, restricted=True, val_type=int, min_val=1)
-    check_argument("tb_plot_step", c, restricted=True, val_type=int, min_val=1)
-    check_argument("save_step", c, restricted=True, val_type=int, min_val=1)
-    check_argument("checkpoint", c, restricted=True, val_type=bool)
-    check_argument("tb_model_param_stats", c, restricted=True, val_type=bool)
+    # check_argument('print_step', c, restricted=True, val_type=int, min_val=1)
+    # check_argument('tb_plot_step', c, restricted=True, val_type=int, min_val=1)
+    # check_argument('save_step', c, restricted=True, val_type=int, min_val=1)
+    # check_argument('checkpoint', c, restricted=True, val_type=bool)
+    # check_argument('tb_model_param_stats', c, restricted=True, val_type=bool)
 
     # dataloading
     # pylint: disable=import-outside-toplevel
     from TTS.tts.utils.text import cleaners
-
-    check_argument("text_cleaner", c, restricted=True, val_type=str, enum_list=dir(cleaners))
-    check_argument("enable_eos_bos_chars", c, restricted=True, val_type=bool)
-    check_argument("num_loader_workers", c, restricted=True, val_type=int, min_val=0)
-    check_argument("num_val_loader_workers", c, restricted=True, val_type=int, min_val=0)
-    check_argument("batch_group_size", c, restricted=True, val_type=int, min_val=0)
-    check_argument("min_seq_len", c, restricted=True, val_type=int, min_val=0)
-    check_argument("max_seq_len", c, restricted=True, val_type=int, min_val=10)
-    check_argument("compute_input_seq_cache", c, restricted=True, val_type=bool)
+    # check_argument('text_cleaner', c, restricted=True, val_type=str, enum_list=dir(cleaners))
+    # check_argument('enable_eos_bos_chars', c, restricted=True, val_type=bool)
+    # check_argument('num_loader_workers', c, restricted=True, val_type=int, min_val=0)
+    # check_argument('num_val_loader_workers', c, restricted=True, val_type=int, min_val=0)
+    # check_argument('batch_group_size', c, restricted=True, val_type=int, min_val=0)
+    # check_argument('min_seq_len', c, restricted=True, val_type=int, min_val=0)
+    # check_argument('max_seq_len', c, restricted=True, val_type=int, min_val=10)
+    # check_argument('compute_input_seq_cache', c, restricted=True, val_type=bool)
 
     # paths
     check_argument("output_path", c, restricted=True, val_type=str)
diff --git a/TTS/utils/generic_utils.py b/TTS/utils/generic_utils.py
index 140cf811..a3a604df 100644
--- a/TTS/utils/generic_utils.py
+++ b/TTS/utils/generic_utils.py
@@ -5,6 +5,7 @@ import shutil
 import subprocess
 import sys
 from pathlib import Path
+from typing import List
 
 
 def get_git_branch():
@@ -139,7 +140,21 @@ class KeepAverage:
             self.update_value(key, value)
 
 
-def check_argument(name, c, enum_list=None, max_val=None, min_val=None, restricted=False, alternative=None, allow_none=False):
+def check_argument(name,
+                   c,
+                   prerequest=None,
+                   enum_list=None,
+                   max_val=None,
+                   min_val=None,
+                   restricted=False,
+                   alternative=None,
+                   allow_none=False):
+    if isinstance(prerequest, List()):
+        if any([f not in c.keys() for f in prerequest]):
+            return
+    else:
+        if prerequest not in c.keys():
+            return
     if alternative in c.keys() and c[alternative] is not None:
         return
     if allow_none and c[name] is None: