diff --git a/guides/learn/speech-input.mdx b/guides/learn/speech-input.mdx
index edb92534..37754eaa 100644
--- a/guides/learn/speech-input.mdx
+++ b/guides/learn/speech-input.mdx
@@ -57,9 +57,7 @@ vad_analyzer = SileroVADAnalyzer(
 
 user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
     context,
-    user_params=LLMUserAggregatorParams(
-        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
-    ),
+    user_params=LLMUserAggregatorParams(vad_analyzer=vad_analyzer)),
 )
 ```
 
@@ -190,9 +188,7 @@ vad_params = VADParams(
 )
 
 transport = YourTransport(
-    params=TransportParams(
-        vad_analyzer=SileroVADAnalyzer(params=vad_params),
-    ),
+    params=TransportParams(),
 )
 
 # Configure Smart Turn via user turn strategies (if using turn detection)
@@ -204,6 +200,7 @@ user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
                 turn_analyzer=LocalSmartTurnAnalyzerV3()
             )]
         ) if using_smart_turn_detection else None,
+        vad_analyzer=SileroVADAnalyzer(params=vad_params),
     ),
 )
 
diff --git a/server/utilities/audio/aic-filter.mdx b/server/utilities/audio/aic-filter.mdx
index 1e0df4ba..98ab9353 100644
--- a/server/utilities/audio/aic-filter.mdx
+++ b/server/utilities/audio/aic-filter.mdx
@@ -28,10 +28,10 @@ pip install "pipecat-ai[aic]"
 </ParamField>
 
 <ParamField path="model_id" type="Optional[str]" default="None">
-  Model identifier to download from CDN. Required if `model_path` is not provided. 
+  Model identifier to download from CDN. Required if `model_path` is not provided.
   See [artifacts.ai-coustics.io](https://artifacts.ai-coustics.io/) for available models.
   See the [documentation](https://docs.ai-coustics.com/guides/models) for more detailed information about the models.
-  
+
   Examples: `"quail-vf-l-16khz"`, `"quail-s-16khz"`, `"quail-l-8khz"`
 </ParamField>
 
@@ -110,6 +110,10 @@ The recommended approach is to use `AICFilter` with its built-in VAD analyzer:
 
 ```python
 from pipecat.audio.filters.aic_filter import AICFilter
+from pipecat.processors.aggregators.llm_response_universal import (
+    LLMContextAggregatorPair,
+    LLMUserAggregatorParams,
+)
 from pipecat.transports.services.daily import DailyTransport, DailyParams
 
 # Create the AIC filter
@@ -127,6 +131,12 @@ transport = DailyTransport(
         audio_in_enabled=True,
         audio_out_enabled=True,
         audio_in_filter=aic_filter,
+    ),
+)
+
+user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
+    context,
+    user_params=LLMUserAggregatorParams(
         vad_analyzer=aic_filter.create_vad_analyzer(
             speech_hold_duration=0.05,
             minimum_speech_duration=0.0,
@@ -169,6 +179,10 @@ The AIC filter works with any Pipecat transport:
 
 ```python
 from pipecat.audio.filters.aic_filter import AICFilter
+from pipecat.processors.aggregators.llm_response_universal import (
+    LLMContextAggregatorPair,
+    LLMUserAggregatorParams,
+)
 from pipecat.transports.websocket import FastAPIWebsocketTransport, FastAPIWebsocketParams
 
 aic_filter = AICFilter(
@@ -181,6 +195,12 @@ transport = FastAPIWebsocketTransport(
         audio_in_enabled=True,
         audio_out_enabled=True,
         audio_in_filter=aic_filter,
+    ),
+)
+
+user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
+    context,
+    user_params=LLMUserAggregatorParams(
         vad_analyzer=aic_filter.create_vad_analyzer(
             speech_hold_duration=0.05,
             sensitivity=6.0,