diff --git a/whisper_live/vad.py b/whisper_live/vad.py
index 53170f9..31edac8 100644
--- a/whisper_live/vad.py
+++ b/whisper_live/vad.py
@@ -10,9 +10,7 @@ import onnxruntime
 class VoiceActivityDetection():
 
     def __init__(self, force_onnx_cpu=True):
-        print("downloading ONNX model...")
         path = self.download()
-        print("loading session")
 
         opts = onnxruntime.SessionOptions()
         opts.log_severity_level = 3
@@ -20,13 +18,11 @@ class VoiceActivityDetection():
         opts.inter_op_num_threads = 1
         opts.intra_op_num_threads = 1
 
-        print("loading onnx model")
         if force_onnx_cpu and 'CPUExecutionProvider' in onnxruntime.get_available_providers():
             self.session = onnxruntime.InferenceSession(path, providers=['CPUExecutionProvider'], sess_options=opts)
         else:
             self.session = onnxruntime.InferenceSession(path, providers=['CUDAExecutionProvider'], sess_options=opts)
 
-        print("reset states")
         self.reset_states()
         self.sample_rates = [8000, 16000]
 
@@ -110,7 +106,6 @@ class VoiceActivityDetection():
         # Check if the model file already exists
         if not os.path.exists(model_filename):
             # If it doesn't exist, download the model using wget
-            print("Downloading VAD ONNX model...")
             try:
                 subprocess.run(["wget", "-O", model_filename, model_url], check=True)
             except subprocess.CalledProcessError: