diff --git a/training/coqui_stt_training/util/helpers.py b/training/coqui_stt_training/util/helpers.py
index 71749a74..c8aa788a 100644
--- a/training/coqui_stt_training/util/helpers.py
+++ b/training/coqui_stt_training/util/helpers.py
@@ -255,16 +255,14 @@ def tf_pick_value_from_range(value_range, clock=None, double_precision=False):
             tf.minimum(tf.constant(1.0, dtype=tf.float64), clock),
         )
     value = value_range.start + clock * (value_range.end - value_range.start)
-    if value_range.r:
-        # if the option <r> (<value>~<r>, randomization radius) is supplied,
-        # sample the value from a uniform distribution with "radius" <r>
-        value = tf.random.stateless_uniform(
-            [],
-            minval=value - value_range.r,
-            maxval=value + value_range.r,
-            seed=(clock * tf.int32.min, clock * tf.int32.max),
-            dtype=tf.float64,
-        )
+    # sample the value from a uniform distribution with "radius" <r>
+    value = tf.random.stateless_uniform(
+        [],
+        minval=value - value_range.r,
+        maxval=value + value_range.r,
+        seed=(clock * tf.int32.min, clock * tf.int32.max),
+        dtype=tf.float64,
+    )
     if isinstance(value_range.start, int):
         return tf.cast(tf.math.round(value), tf.int64 if double_precision else tf.int32)
     return tf.cast(value, tf.float64 if double_precision else tf.float32)