diff --git a/examples/tts/tts_autoplay/tts_stream_v2.py b/examples/tts/tts_autoplay/tts_stream_v2.py
new file mode 100644
index 0000000..b199e12
--- /dev/null
+++ b/examples/tts/tts_autoplay/tts_stream_v2.py
@@ -0,0 +1,112 @@
+import asyncio
+import logging
+
+import numpy as np
+import sounddevice as sd
+from speechmatics.tts import AsyncClient, OutputFormat, Voice
+
+logger = logging.getLogger(__name__)
+
+# Configuration
+TEXT = "Welcome to the future of audio generation from text! This audio is a demo of the async streaming Speechmatics' text to speech API."
+VOICE = Voice.JACK
+OUTPUT_FORMAT = OutputFormat.RAW_PCM_16000
+
+# Audio Parameters
+SAMPLE_RATE = 16000  # Hz
+CHANNELS = 1  # Mono audio
+CHUNK_SIZE = 2048  # Size of byte chunks (will be 2048 16-bit samples)
+
+# Sentinel value to signal end of stream
+END_OF_STREAM = object()
+
+# Core Async Functions
+
+# 1. Producer:
+async def audio_generator(audio_queue: asyncio.Queue, text: str, voice: str, output_format: str) -> None:
+    try:
+        buffer = bytearray()
+        async with AsyncClient() as client, await client.generate(
+            text=text,
+            voice=voice,
+            output_format=output_format
+        ) as response:
+            async for chunk in response.content.iter_chunked(CHUNK_SIZE):
+                if chunk:
+                    buffer.extend(chunk)
+                    if len(buffer) >= CHUNK_SIZE:
+                        bytes_to_put = len(buffer) - (len(buffer) % 2)
+                        await audio_queue.put(buffer[:bytes_to_put])
+                        buffer = buffer[bytes_to_put:]
+            if buffer:
+                await audio_queue.put(bytes(buffer))
+            logger.info("Generator: All audio bytes streamed to queue.")
+    except Exception as e:
+        logger.error("Generator Error: %s", e, exc_info=True)
+        raise
+    finally:
+        await audio_queue.put(END_OF_STREAM)
+
+# 2. Consumer:
+async def audio_player(play_queue: asyncio.Queue) -> None:
+    current_buffer = bytearray()
+    try:
+        with sd.OutputStream(
+            samplerate=SAMPLE_RATE,
+            channels=CHANNELS,
+            dtype='int16',
+            blocksize=CHUNK_SIZE // 2,
+            latency='low',
+        ) as stream:
+            while True:
+                chunk = await play_queue.get()
+                if chunk is END_OF_STREAM:
+                    break
+
+                current_buffer.extend(chunk)
+                bytes_to_process = len(current_buffer) - (len(current_buffer) % 2)
+
+                if bytes_to_process > 0:
+                    audio_data = np.frombuffer(
+                        bytes(current_buffer[:bytes_to_process]),
+                        dtype=np.int16
+                    )
+                    stream.write(audio_data)
+                    current_buffer = current_buffer[bytes_to_process:]
+
+                play_queue.task_done()
+
+            if current_buffer:
+                audio_data = np.frombuffer(bytes(current_buffer), dtype=np.int16)
+                stream.write(audio_data)
+
+    except Exception as e:
+        logger.error("Player Error: %s", e, exc_info=True)
+        raise
+    finally:
+        logger.info("Player: Audio playback finished.")
+
+
+# 3. Main:
+async def main() -> None:
+    logging.basicConfig(
+        level=logging.INFO,
+        format='%(asctime)s - %(levelname)s - %(name)s - %(message)s'
+    )
+    play_queue = asyncio.Queue(maxsize=10)
+    tasks = [
+        audio_generator(play_queue, TEXT, VOICE, OUTPUT_FORMAT),
+        audio_player(play_queue),
+    ]
+    try:
+        await asyncio.gather(*tasks)
+    except Exception as e:
+        logger.error("Error %s", e)
+        for task in tasks:
+            task.cancel()
+        await asyncio.gather(*tasks, return_exceptions=True)
+    finally:
+        logger.info("Done")
+
+if __name__ == "__main__":
+    asyncio.run(main())