diff --git a/examples/foundational/07ae-interruptible-hume.py b/examples/foundational/07ae-interruptible-hume.py
index e30cfff98..eae9edaa9 100644
--- a/examples/foundational/07ae-interruptible-hume.py
+++ b/examples/foundational/07ae-interruptible-hume.py
@@ -13,7 +13,8 @@ from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
 from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.audio.vad.vad_analyzer import VADParams
-from pipecat.frames.frames import Frame, LLMRunFrame, TTSTextFrame, format_pts
+from pipecat.frames.frames import LLMRunFrame, TTSTextFrame
+from pipecat.observers.loggers.debug_log_observer import DebugLogObserver, FrameEndpoint
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
@@ -21,7 +22,6 @@ from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
 )
-from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
 from pipecat.processors.transcript_processor import TranscriptProcessor
 from pipecat.runner.types import RunnerArguments
@@ -29,6 +29,7 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.hume.tts import HUME_SAMPLE_RATE, HumeTTSService
 from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.base_output import BaseOutputTransport
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -36,24 +37,6 @@ from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
 load_dotenv(override=True)
 
 
-class TimestampLogger(FrameProcessor):
-    """Frame processor that logs TTSTextFrame objects with their timestamps.
-
-    This helps verify that word timestamps are working correctly by showing
-    when each word is spoken with its presentation timestamp (PTS).
-    """
-
-    async def process_frame(self, frame: Frame, direction: FrameDirection):
-        await super().process_frame(frame, direction)
-
-        if isinstance(frame, TTSTextFrame):
-            pts_str = format_pts(frame.pts) if frame.pts else "no PTS"
-            logger.info(f"🎯 Word timestamp: '{frame.text}' at {pts_str}")
-
-        # Always push all frames through
-        await self.push_frame(frame, direction)
-
-
 # We store functions so objects (e.g. SileroVADAnalyzer) don't get
 # instantiated. The function will be called when the desired transport gets
 # selected.
@@ -107,9 +90,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     # Add transcript processor to show timestamps in conversation history
     transcript = TranscriptProcessor()
 
-    # Add timestamp logger to verify word timestamps are being generated
-    timestamp_logger = TimestampLogger()
-
     pipeline = Pipeline(
         [
             transport.input(),  # Transport user input
@@ -119,7 +99,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context_aggregator.user(),  # User responses
             llm,  # LLM
             tts,  # TTS (HumeTTSService with word timestamps)
-            timestamp_logger,  # Log word timestamps for verification
             transport.output(),  # Transport bot output
             transcript.assistant(),  # Assistant transcripts with timestamps
             context_aggregator.assistant(),  # Assistant spoken responses
@@ -134,7 +113,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             audio_out_sample_rate=HUME_SAMPLE_RATE,
         ),
         idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
-        observers=[RTVIObserver(rtvi)],
+        observers=[
+            RTVIObserver(rtvi),
+            DebugLogObserver(
+                frame_types={
+                    TTSTextFrame: (BaseOutputTransport, FrameEndpoint.DESTINATION),
+                }
+            ),
+        ],
     )
 
     @rtvi.event_handler("on_client_ready")
@@ -152,7 +138,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         logger.info(
-            "💡 Word timestamps are enabled! Watch for '🎯 Word timestamp' logs showing each word with its PTS."
+            "💡 Word timestamps are enabled! Watch the console for TTSTextFrame logs showing each word with its PTS."
         )
         # Kick off the conversation.
         messages.append({"role": "system", "content": "Please introduce yourself to the user."})