diff --git a/configs/ljs_base.json b/configs/ljs_base.json
index c689b54a..810f89e7 100644
--- a/configs/ljs_base.json
+++ b/configs/ljs_base.json
@@ -20,6 +20,7 @@
     "training_files":"filelists/ljs_audio_text_train_filelist.txt.cleaned",
     "validation_files":"filelists/ljs_audio_text_val_filelist.txt.cleaned",
     "text_cleaners":["english_cleaners2"],
+    "audio_boundaries": [32,300,400,500,600,700,800,900,1000],
     "max_wav_value": 32768.0,
     "sampling_rate": 22050,
     "filter_length": 1024,
diff --git a/configs/ljs_nosdp.json b/configs/ljs_nosdp.json
index 7d273775..b10e8694 100644
--- a/configs/ljs_nosdp.json
+++ b/configs/ljs_nosdp.json
@@ -21,6 +21,7 @@
     "validation_files":"filelists/ljs_audio_text_val_filelist.txt.cleaned",
     "text_cleaners":["english_cleaners2"],
     "max_wav_value": 32768.0,
+    "audio_boundaries": [32,300,400,500,600,700,800,900,1000],
     "sampling_rate": 22050,
     "filter_length": 1024,
     "hop_length": 256,
diff --git a/configs/vctk_base.json b/configs/vctk_base.json
index 3a656f4f..96c0381a 100644
--- a/configs/vctk_base.json
+++ b/configs/vctk_base.json
@@ -21,6 +21,7 @@
     "validation_files":"filelists/vctk_audio_sid_text_val_filelist.txt.cleaned",
     "text_cleaners":["english_cleaners2"],
     "max_wav_value": 32768.0,
+    "audio_boundaries": [32,300,400,500,600,700,800,900,1000],
     "sampling_rate": 22050,
     "filter_length": 1024,
     "hop_length": 256,
diff --git a/train.py b/train.py
index 703d30cf..e5b9dfe8 100644
--- a/train.py
+++ b/train.py
@@ -67,7 +67,7 @@ def run(rank, n_gpus, hps):
   train_sampler = DistributedBucketSampler(
       train_dataset,
       hps.train.batch_size,
-      [32,300,400,500,600,700,800,900,1000],
+      hps.data.audio_boundaries,
       num_replicas=n_gpus,
       rank=rank,
       shuffle=True)
diff --git a/train_ms.py b/train_ms.py
index 34870c62..23c8236c 100644
--- a/train_ms.py
+++ b/train_ms.py
@@ -67,7 +67,7 @@ def run(rank, n_gpus, hps):
   train_sampler = DistributedBucketSampler(
       train_dataset,
       hps.train.batch_size,
-      [32,300,400,500,600,700,800,900,1000],
+      hps.data.audio_boundaries,
       num_replicas=n_gpus,
       rank=rank,
       shuffle=True)