diff --git a/src/asr/faster_whisper_asr.py b/src/asr/faster_whisper_asr.py
index 96c475c..cdcc058 100644
--- a/src/asr/faster_whisper_asr.py
+++ b/src/asr/faster_whisper_asr.py
@@ -112,10 +112,15 @@
 
 class FasterWhisperASR(ASRInterface):
     def __init__(self, **kwargs):
-        model_size = kwargs.get("model_size", "large-v3")
-        # Run on GPU with FP16
+        model_size_or_path = kwargs.get("model_size_or_path", kwargs.get("model_size", "large-v3"))
+        device = kwargs.get("device", "cuda")
+        compute_type = kwargs.get("compute_type", "float16")
+        
+        # Run on GPU with FP16 by default, or use provided parameters
         self.asr_pipeline = WhisperModel(
-            model_size, device="cuda", compute_type="float16"
+            model_size_or_path, 
+            device=device, 
+            compute_type=compute_type
         )
 
     async def transcribe(self, client):
diff --git a/src/vad/vad_factory.py b/src/vad/vad_factory.py
index e20d3f9..cd81a6b 100644
--- a/src/vad/vad_factory.py
+++ b/src/vad/vad_factory.py
@@ -1,6 +1,3 @@
-from .pyannote_vad import PyannoteVAD
-
-
 class VADFactory:
     """
     Factory for creating instances of VAD systems.
@@ -10,15 +7,8 @@ class VADFactory:
     def create_vad_pipeline(type, **kwargs):
         """
         Creates a VAD pipeline based on the specified type.
-
-        Args:
-            type (str): The type of VAD pipeline to create (e.g., 'pyannote').
-            kwargs: Additional arguments for the VAD pipeline creation.
-
-        Returns:
-            VADInterface: An instance of a class that implements VADInterface.
         """
-        if type == "pyannote":
-            return PyannoteVAD(**kwargs)
+        if type == "none" or type is None:
+            return None
         else:
-            raise ValueError(f"Unknown VAD pipeline type: {type}")
+            raise ValueError(f"VAD type '{type}' not available. Use 'none' to disable VAD.")
\ No newline at end of file