diff --git a/ivas_processing_scripts/generation/process_ism_items.py b/ivas_processing_scripts/generation/process_ism_items.py
index cb8a46b8668a4b84ad49c4970f36e155d82aad57..ff123663c66a77686e29c67c154c462e14017d7e 100644
--- a/ivas_processing_scripts/generation/process_ism_items.py
+++ b/ivas_processing_scripts/generation/process_ism_items.py
@@ -102,10 +102,22 @@ def generate_ism_items(
         # repeat for all source files
         for i in range(N_sources):
             # parse parameters from the scene description
-            source_file = scene["source"][i] if isinstance(scene["source"], list) else scene["source"]   
-            source_azi = scene["azimuth"][i] if isinstance(scene["azimuth"], list) else scene["azimuth"]   
-            source_ele = scene["elevation"][i] if isinstance(scene["elevation"], list) else scene["elevation"]   
-            
+            source_file = (
+                scene["source"][i]
+                if isinstance(scene["source"], list)
+                else scene["source"]
+            )
+            source_azi = (
+                scene["azimuth"][i]
+                if isinstance(scene["azimuth"], list)
+                else scene["azimuth"]
+            )
+            source_ele = (
+                scene["elevation"][i]
+                if isinstance(scene["elevation"], list)
+                else scene["elevation"]
+            )
+
             logger.info(
                 f"Encoding {source_file} at position(s) {source_azi},{source_ele}"
             )
diff --git a/ivas_processing_scripts/processing/preprocessing_2.py b/ivas_processing_scripts/processing/preprocessing_2.py
index 0e84c44780d3ca775cfde3b448a284de9c42b071..2a475db2266e4846645bf5dd8e7045df29472d54 100644
--- a/ivas_processing_scripts/processing/preprocessing_2.py
+++ b/ivas_processing_scripts/processing/preprocessing_2.py
@@ -37,7 +37,7 @@ from warnings import warn
 import numpy as np
 
 from ivas_processing_scripts.audiotools import audio
-from ivas_processing_scripts.audiotools.audioarray import delay, trim
+from ivas_processing_scripts.audiotools.audioarray import trim
 from ivas_processing_scripts.audiotools.audiofile import write
 from ivas_processing_scripts.audiotools.metadata import (
     add_remove_preamble,
@@ -47,7 +47,6 @@ from ivas_processing_scripts.audiotools.wrappers.bs1770 import (
     get_loudness,
     loudness_norm,
 )
-from ivas_processing_scripts.audiotools.wrappers.random_seed import random_seed
 from ivas_processing_scripts.processing.processing import Processing
 
 
@@ -114,9 +113,6 @@ class Preprocessing2(Processing):
     def add_background_noise(
         self, audio_object: audio.Audio, in_meta, logger
     ) -> np.ndarray:
-        # range for random delay
-        max_delay = int(2400000 * audio_object.fs / 48000)
-
         if self.background_noise.get("background_noise_path"):
             if not self.background_noise.get("background_noise_path").exists():
                 raise ValueError(
@@ -136,10 +132,6 @@ class Preprocessing2(Processing):
             # if noise is too short raise error
             if len(noise_object.audio) < len(audio_object.audio):
                 raise ValueError("Background noise too short for audio signal")
-            if len(noise_object.audio) - max_delay < len(audio_object.audio):
-                raise ValueError(
-                    "Background noise may be to short for audio signal when considering the random delay"
-                )
 
             # measure loudness of audio signal based on output format
             tmp_object = audio.fromtype(self.out_fmt)
@@ -163,16 +155,8 @@ class Preprocessing2(Processing):
             # compute desired loudness of background noise
             loudness_noise = loudness_signal - self.background_noise["snr"]
 
-            # apply random delay and cut signal
-            rand_delay = random_seed(
-                range=(1, max_delay),
-                master_seed=self.background_noise["master_seed"],
-                prerun_seed=self.background_noise["seed_delay"],
-                hexa=False,
-            )
-            noise_object.audio = delay(
-                noise_object.audio, delay=-rand_delay, samples=True, fs=noise_object.fs
-            )[: len(audio_object.audio)]
+            # cut noise signal
+            noise_object.audio = noise_object.audio[: len(audio_object.audio)]
 
             # scale background noise to desired loudness based on output format
             logger.debug(