diff --git a/modules/utils/logger.py b/modules/utils/logger.py
index 4f71bd38..314d65a5 100644
--- a/modules/utils/logger.py
+++ b/modules/utils/logger.py
@@ -1,15 +1,10 @@
 import logging
+from typing import Optional
 
 
-def get_gradio_logger():
-    return get_logger("Whisper-WebUI")
-
-
-def get_backend_logger():
-    return get_logger("Whisper-WebUI-Backend")
-
-
-def get_logger(name: str):
+def get_logger(name: Optional[str] = None):
+    if name is None:
+        name = "Whisper-WebUI"
     logger = logging.getLogger(name)
 
     if not logger.handlers:
diff --git a/modules/whisper/base_transcription_pipeline.py b/modules/whisper/base_transcription_pipeline.py
index 8172a25b..17ac796a 100644
--- a/modules/whisper/base_transcription_pipeline.py
+++ b/modules/whisper/base_transcription_pipeline.py
@@ -15,6 +15,7 @@
 from modules.utils.paths import (WHISPER_MODELS_DIR, DIARIZATION_MODELS_DIR, OUTPUT_DIR, DEFAULT_PARAMETERS_CONFIG_PATH,
                                  UVR_MODELS_DIR)
 from modules.utils.constants import *
+from modules.utils.logger import get_logger
 from modules.utils.subtitle_manager import *
 from modules.utils.youtube_manager import get_ytdata, get_ytaudio
 from modules.utils.files_manager import get_media_files, format_gradio_files, load_yaml, save_yaml, read_file
@@ -23,6 +24,9 @@
 from modules.vad.silero_vad import SileroVAD
 
 
+logger = get_logger()
+
+
 class BaseTranscriptionPipeline(ABC):
     def __init__(self,
                  model_dir: str = WHISPER_MODELS_DIR,
@@ -158,12 +162,14 @@ def run(self,
         )
 
         if vad_params.vad_filter:
-            result = self.vad.restore_speech_timestamps(
+            restored_result = self.vad.restore_speech_timestamps(
                 segments=result,
                 speech_chunks=speech_chunks,
             )
-            if not result:
-                raise ValueError("VAD detected no speech segments in the audio.")
+            if restored_result:
+                result = restored_result
+            else:
+                logger.info("VAD detected no speech segments in the audio.")
 
         if diarization_params.is_diarize:
             result, elapsed_time_diarization = self.diarizer.run(