diff --git a/ivas_processing_scripts/audiotools/__init__.py b/ivas_processing_scripts/audiotools/__init__.py
index f3b599d19f836086ae2674d02198017d8850fc67..a191140fa22e856277200a9028abddd95cec53a6 100755
--- a/ivas_processing_scripts/audiotools/__init__.py
+++ b/ivas_processing_scripts/audiotools/__init__.py
@@ -195,8 +195,8 @@ def get_argparser():
     output_parser.add_argument(
         "-bl",
         "--bin_lfe_gain",
-        type=float,
-        help="Render LFE to binaural output with the specified gain (only valid for channel-based input, default = %(default)s)",
+        type=parse_gain,
+        help="Render LFE to binaural output with the specified gain (suffix with dB to use nonlinear, e.g. '10 dB', only valid for channel-based input, default = %(default)s)",
         default=BINAURAL_LFE_GAIN,
     )
     output_parser.add_argument(
diff --git a/ivas_processing_scripts/audiotools/convert/channelbased.py b/ivas_processing_scripts/audiotools/convert/channelbased.py
index dbb8b160ed46b26f3800d6c411402323f718e012..1499759da3fa5f46c47751a2f4effc46416fd394 100755
--- a/ivas_processing_scripts/audiotools/convert/channelbased.py
+++ b/ivas_processing_scripts/audiotools/convert/channelbased.py
@@ -128,10 +128,9 @@ def render_cba_to_binaural(
     IR, _, latency_smp = load_ir(cba.name, bin.name, bin_dataset)
 
     # render LFE
-    if bin_lfe_gain is not None:
-        bin_lfe, lfe_delay_ns = render_lfe_to_binaural(
-            cba.audio, cba.fs, cba.lfe_index, bin_lfe_gain
-        )
+    bin_lfe, lfe_delay_ns = render_lfe_to_binaural(
+        cba.audio, cba.fs, cba.lfe_index, bin_lfe_gain
+    )
 
     # render rest of the signal
     bin.audio = binaural_fftconv(cba.audio, IR, cba.num_channels, cba.lfe_index)
@@ -139,8 +138,7 @@ def render_cba_to_binaural(
     bin.audio = delay(bin.audio, bin.fs, -latency_smp, samples=True)
 
     # add LFE and rest
-    if bin_lfe_gain is not None:
-        bin.audio += bin_lfe
+    bin.audio += bin_lfe
 
     bin.audio = resample_itu(bin, old_fs)
     bin.fs = old_fs
@@ -354,12 +352,14 @@ def render_lfe_to_binaural(
     x: np.ndarray,
     fs: Optional[int] = 48000,
     lfe_index: Optional[list] = None,
-    LFE_gain: Optional[float] = BINAURAL_LFE_GAIN,
+    LFE_gain: Optional[float] = None,
 ) -> Tuple[np.ndarray, int]:
     """
     Extract LFE from the given input and render
     it binaurally, accounting for delay
     """
+    if LFE_gain is None:
+        LFE_gain = BINAURAL_LFE_GAIN
 
     lfe = x[:, lfe_index].copy()
 
diff --git a/ivas_processing_scripts/processing/chains.py b/ivas_processing_scripts/processing/chains.py
index 21b20a0e4dbdcf33fccc738d159290f0dd6a1605..19b5e760c8c7448ccb3a4cd95356daa36b71d352 100755
--- a/ivas_processing_scripts/processing/chains.py
+++ b/ivas_processing_scripts/processing/chains.py
@@ -577,7 +577,7 @@ def get_processing_chain(
                 "out_fmt": post_fmt,
                 "out_cutoff": tmp_lp_cutoff,
                 "bin_dataset": post_cfg.get("bin_dataset"),
-                "bin_lfe_gain": post_cfg.get("bin_lfe_gain"),
+                "bin_lfe_gain": parse_gain(post_cfg.get("bin_lfe_gain")),
                 "limit": post_cfg.get("limit", True),
                 "trajectory": get_abs_path(post_cfg.get("trajectory", None)),
                 "multiprocessing": cfg.multiprocessing,