diff --git a/batdetect2/compat/params.py b/batdetect2/compat/params.py
index ffd8500..0cf9b19 100644
--- a/batdetect2/compat/params.py
+++ b/batdetect2/compat/params.py
@@ -3,7 +3,7 @@ from batdetect2.preprocess import (
     AudioConfig,
     FrequencyConfig,
     LogScaleConfig,
-    PcenScaleConfig,
+    PcenConfig,
     PreprocessingConfig,
     ResampleConfig,
     Scales,
@@ -24,7 +24,7 @@ from batdetect2.train.preprocess import (
 
 def get_spectrogram_scale(scale: str) -> Scales:
     if scale == "pcen":
-        return PcenScaleConfig()
+        return PcenConfig()
     if scale == "log":
         return LogScaleConfig()
     return AmplitudeScaleConfig()
@@ -52,12 +52,12 @@ def get_preprocessing_config(params: dict) -> PreprocessingConfig:
                 max_freq=params["max_freq"],
             ),
             scale=get_spectrogram_scale(params["spec_scale"]),
-            denoise=params["denoise_spec_avg"],
+            spectral_mean_substraction=params["denoise_spec_avg"],
             size=SpecSizeConfig(
                 height=params["spec_height"],
                 resize_factor=params["resize_factor"],
             ),
-            max_scale=params["max_scale_spec"],
+            peak_normalize=params["max_scale_spec"],
         ),
     )
 
diff --git a/tests/test_migration/test_preprocessing.py b/tests/test_migration/test_preprocessing.py
index 8480215..394ad01 100644
--- a/tests/test_migration/test_preprocessing.py
+++ b/tests/test_migration/test_preprocessing.py
@@ -83,7 +83,7 @@ def test_spectrogram_generation_hasnt_changed(
     if spec_scale == "log":
         scale = preprocess.LogScaleConfig()
     elif spec_scale == "pcen":
-        scale = preprocess.PcenScaleConfig()
+        scale = preprocess.PcenConfig()
     else:
         scale = preprocess.AmplitudeScaleConfig()
 
@@ -97,9 +97,9 @@ def test_spectrogram_generation_hasnt_changed(
             max_freq=max_freq,
         ),
         scale=scale,
-        denoise=denoise_spec_avg,
+        spectral_mean_substraction=denoise_spec_avg,
         size=None,
-        max_scale=max_scale_spec,
+        peak_normalize=max_scale_spec,
     )
 
     recording = data.Recording.from_file(