diff --git a/backend/bgm_separation/router.py b/backend/bgm_separation/router.py
index 1473dcd..63f8b98 100644
--- a/backend/bgm_separation/router.py
+++ b/backend/bgm_separation/router.py
@@ -19,7 +19,7 @@
 
 
 @functools.lru_cache
-def init_bgm_separation_inferencer() -> 'MusicSeparator':
+def get_bgm_separation_inferencer() -> 'MusicSeparator':
     config = load_server_config()["bgm_separation"]
     inferencer = MusicSeparator()
     inferencer.update_model(
@@ -33,7 +33,7 @@ async def run_bgm_separation(
     audio: np.ndarray,
     params: BGMSeparationParams
 ) -> Tuple[np.ndarray, np.ndarray]:
-    instrumental, vocal, filepaths = init_bgm_separation_inferencer().separate(
+    instrumental, vocal, filepaths = get_bgm_separation_inferencer().separate(
         audio=audio,
         model_name=params.model_size,
         device=params.device,
diff --git a/backend/transcription/router.py b/backend/transcription/router.py
index 79e393d..9d447e2 100644
--- a/backend/transcription/router.py
+++ b/backend/transcription/router.py
@@ -19,7 +19,7 @@
 
 
 @functools.lru_cache
-def init_pipeline() -> 'FasterWhisperInference':
+def get_pipeline() -> 'FasterWhisperInference':
     config = load_server_config()["whisper"]
     inferencer = FasterWhisperInference()
     inferencer.update_model(
@@ -33,7 +33,7 @@ async def run_transcription(
     audio: np.ndarray,
     params: TranscriptionPipelineParams
 ) -> List[Segment]:
-    segments, elapsed_time = init_pipeline().run(
+    segments, elapsed_time = get_pipeline().run(
         audio=audio,
         progress=gr.Progress(),
         add_timestamp=False,
diff --git a/backend/vad/router.py b/backend/vad/router.py
index adad881..b6bdde7 100644
--- a/backend/vad/router.py
+++ b/backend/vad/router.py
@@ -17,7 +17,7 @@
 
 
 @functools.lru_cache
-def init_vad_model() -> SileroVAD:
+def get_vad_model() -> SileroVAD:
     inferencer = SileroVAD()
     inferencer.update_model()
     return inferencer
@@ -27,7 +27,7 @@ async def run_vad(
     audio: np.ndarray,
     params: VadOptions
 ) -> List[Dict]:
-    audio, speech_chunks = init_vad_model().run(
+    audio, speech_chunks = get_vad_model().run(
         audio=audio,
         vad_parameters=params
     )