diff --git a/src/pipecat/processors/aggregators/llm_response.py b/src/pipecat/processors/aggregators/llm_response.py
index 1f50119fd..0bc68efdb 100644
--- a/src/pipecat/processors/aggregators/llm_response.py
+++ b/src/pipecat/processors/aggregators/llm_response.py
@@ -287,7 +287,7 @@ class LLMUserContextAggregator(LLMContextResponseAggregator):
             await self.push_aggregation()
 
     async def _handle_transcription(self, frame: TranscriptionFrame):
-        self._aggregation += frame.text
+        self._aggregation += f" {frame.text}" if self._aggregation else frame.text
         # We just got a final result, so let's reset interim results.
         self._seen_interim_results = False
         # Reset aggregation timer.
diff --git a/tests/test_llm_response.py b/tests/test_context_aggregators.py
similarity index 98%
rename from tests/test_llm_response.py
rename to tests/test_context_aggregators.py
index e0026f5b5..a8e69da09 100644
--- a/tests/test_llm_response.py
+++ b/tests/test_context_aggregators.py
@@ -109,7 +109,7 @@ class BaseTestUserContextAggregator:
         aggregator = self.AGGREGATOR_CLASS(context)
         frames_to_send = [
             UserStartedSpeakingFrame(),
-            TranscriptionFrame(text="Hello Pipecat! ", user_id="cat", timestamp=""),
+            TranscriptionFrame(text="Hello Pipecat!", user_id="cat", timestamp=""),
             InterimTranscriptionFrame(text="How ", user_id="cat", timestamp=""),
             SleepFrame(),
             UserStoppedSpeakingFrame(),
@@ -271,7 +271,7 @@ class BaseTestUserContextAggregator:
         frames_to_send = [
             UserStartedSpeakingFrame(),
             UserStoppedSpeakingFrame(),
-            TranscriptionFrame(text="Hello Pipecat! ", user_id="cat", timestamp=""),
+            TranscriptionFrame(text="Hello Pipecat!", user_id="cat", timestamp=""),
             TranscriptionFrame(text="How are you?", user_id="cat", timestamp=""),
             SleepFrame(sleep=AGGREGATION_SLEEP),
         ]
@@ -298,7 +298,7 @@ class BaseTestUserContextAggregator:
             InterimTranscriptionFrame(text="Hello ", user_id="cat", timestamp=""),
             SleepFrame(),
             UserStoppedSpeakingFrame(),
-            TranscriptionFrame(text="Hello Pipecat! ", user_id="cat", timestamp=""),
+            TranscriptionFrame(text="Hello Pipecat!", user_id="cat", timestamp=""),
             InterimTranscriptionFrame(text="How ", user_id="cat", timestamp=""),
             TranscriptionFrame(text="How are you?", user_id="cat", timestamp=""),
             SleepFrame(sleep=AGGREGATION_SLEEP),