diff --git a/vocode/streaming/transcriber/base_transcriber.py b/vocode/streaming/transcriber/base_transcriber.py
index 8d1ea1981..0167ee90a 100644
--- a/vocode/streaming/transcriber/base_transcriber.py
+++ b/vocode/streaming/transcriber/base_transcriber.py
@@ -10,7 +10,7 @@
 from vocode.streaming.models.model import BaseModel
 
 from vocode.streaming.models.transcriber import TranscriberConfig
-from vocode.streaming.utils.FillerModel import FillerModel
+from vocode.streaming.utils.back_tracking_model import BackTrackingModel
 from vocode.streaming.utils.interrupt_model import InterruptModel
 from vocode.streaming.utils.worker import AsyncWorker, ThreadAsyncWorker
 from vocode.utils.context_tracker.factory import ContextTrackerFactory
@@ -68,7 +68,7 @@ def __init__(
         self.logger = logger or logging.getLogger(__name__)
 
         if self.transcriber_config.skip_on_filler_audio:
-            self.skip_model: FillerModel = FillerModel(logger=self.logger)
+            self.skip_model: BackTrackingModel = BackTrackingModel(logger=self.logger)
             self.interrupt_model_initialize_task = asyncio.create_task(
                 self.skip_model.initialize_embeddings()
             )
diff --git a/vocode/streaming/utils/FillerModel.py b/vocode/streaming/utils/back_tracking_model.py
similarity index 75%
rename from vocode/streaming/utils/FillerModel.py
rename to vocode/streaming/utils/back_tracking_model.py
index 9f95678a5..3d3ee3961 100644
--- a/vocode/streaming/utils/FillerModel.py
+++ b/vocode/streaming/utils/back_tracking_model.py
@@ -1,4 +1,5 @@
 import logging
+import os
 from typing import Optional
 
 from vocode.streaming.utils.embedding_model import EmbeddingModel
@@ -23,11 +24,11 @@
 ]
 
 
-class FillerModel(EmbeddingModel):
+class BackTrackingModel(EmbeddingModel):
     def __init__(self, embeddings_cache_path: str = os.path.join(
-        os.path.dirname(__file__), "filler_embeddings"), 
-        embeddings_file: str = 'filler_embeddings', 
-        openai_api_key: Optional[str] = None, logger: Optional[logging.Logger] = None):
+        os.path.dirname(__file__), "filler_embeddings"),
+                 embeddings_file: str = 'filler_embeddings',
+                 openai_api_key: Optional[str] = None, logger: Optional[logging.Logger] = None):
         self.phrases = FillerPhrases
         self.strict_phrases = ["hmm", 'go on', "tell me more", "please continue"]
         super().__init__(embeddings_cache_path, embeddings_file, openai_api_key, logger)