diff --git a/src/pipecat/turns/mute/__init__.py b/src/pipecat/turns/mute/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/src/pipecat/turns/mute/always_user_mute_strategy.py b/src/pipecat/turns/mute/always_user_mute_strategy.py
new file mode 100644
index 000000000..0bbe85173
--- /dev/null
+++ b/src/pipecat/turns/mute/always_user_mute_strategy.py
@@ -0,0 +1,41 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""User mute strategy that always mutes the user while the bot is speaking."""
+
+from pipecat.frames.frames import BotStartedSpeakingFrame, BotStoppedSpeakingFrame, Frame
+from pipecat.turns.mute.base_user_mute_strategy import BaseUserMuteStrategy
+
+
+class AlwaysUserMuteStrategy(BaseUserMuteStrategy):
+    """User mute strategy that always mutes the user while the bot is speaking."""
+
+    def __init__(self):
+        """Initialize the always user mute strategy."""
+        super().__init__()
+        self._bot_speaking = False
+
+    async def reset(self):
+        """Reset the strategy to its initial state."""
+        self._bot_speaking = False
+
+    async def process_frame(self, frame: Frame) -> bool:
+        """Process an incoming frame.
+
+        Args:
+            frame: The frame to be processed.
+
+        Returns:
+            Whether the strategy is muted.
+        """
+        await super().process_frame(frame)
+
+        if isinstance(frame, BotStartedSpeakingFrame):
+            self._bot_speaking = True
+        elif isinstance(frame, BotStoppedSpeakingFrame):
+            self._bot_speaking = False
+
+        return self._bot_speaking
diff --git a/src/pipecat/turns/mute/base_user_mute_strategy.py b/src/pipecat/turns/mute/base_user_mute_strategy.py
new file mode 100644
index 000000000..dd3075c96
--- /dev/null
+++ b/src/pipecat/turns/mute/base_user_mute_strategy.py
@@ -0,0 +1,69 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""Base strategy for deciding whether user frames should be muted."""
+
+from typing import Optional
+
+from pipecat.frames.frames import Frame
+from pipecat.utils.asyncio.task_manager import BaseTaskManager
+from pipecat.utils.base_object import BaseObject
+
+
+class BaseUserMuteStrategy(BaseObject):
+    """Base class for strategies that decide whether user frames should be muted.
+
+    A user mute strategy determines whether incoming user frames should be
+    suppressed based on the *current system state*.
+
+    Typical heuristics include:
+    - The bot is currently speaking, so user should be muted
+    - A function call or tool execution is in progress
+    - The system is otherwise not ready to accept user input
+
+    The strategy is evaluated per frame and returns a boolean indicating whether
+    the user should be muted.
+
+    """
+
+    def __init__(self, **kwargs):
+        """Initialize the base user mute strategy."""
+        super().__init__(**kwargs)
+        self._task_manager: Optional[BaseTaskManager] = None
+
+    @property
+    def task_manager(self) -> BaseTaskManager:
+        """Returns the configured task manager."""
+        if not self._task_manager:
+            raise RuntimeError(f"{self} user mute strategy was not properly setup")
+        return self._task_manager
+
+    async def setup(self, task_manager: BaseTaskManager):
+        """Initialize the strategy with the given task manager.
+
+        Args:
+            task_manager: The task manager to be associated with this instance.
+        """
+        self._task_manager = task_manager
+
+    async def cleanup(self):
+        """Cleanup the strategy."""
+        pass
+
+    async def reset(self):
+        """Reset the strategy to its initial state."""
+        pass
+
+    async def process_frame(self, frame: Frame) -> bool:
+        """Process an incoming frame.
+
+        Args:
+            frame: The frame to be processed.
+
+        Returns:
+            Whether the strategy is muted.
+        """
+        return False
diff --git a/src/pipecat/turns/mute/first_speech_user_mute_strategy.py b/src/pipecat/turns/mute/first_speech_user_mute_strategy.py
new file mode 100644
index 000000000..29e59ae99
--- /dev/null
+++ b/src/pipecat/turns/mute/first_speech_user_mute_strategy.py
@@ -0,0 +1,64 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""User mute strategy that mutes the user only during the bot’s first speech."""
+
+from pipecat.frames.frames import BotStartedSpeakingFrame, BotStoppedSpeakingFrame, Frame
+from pipecat.turns.mute.base_user_mute_strategy import BaseUserMuteStrategy
+
+
+class FirstSpeechUserMuteStrategy(BaseUserMuteStrategy):
+    """User mute strategy that mutes the user only during the bot’s first speech.
+
+    This strategy allows user input before the bot starts speaking. Once the bot
+    begins its first speaking turn, user frames are muted until the bot finishes
+    that speech. After the bot completes its first speaking turn, user input is
+    no longer muted by this strategy.
+
+    Use this strategy when early user input is acceptable, but interruptions
+    during the bot’s initial response should be prevented.
+
+    """
+
+    def __init__(self):
+        """Initialize the first-bot-speech user mute strategy."""
+        super().__init__()
+        self._bot_speaking = False
+        self._first_speech_handled = False
+
+    async def reset(self):
+        """Reset the strategy to its initial state."""
+        self._bot_speaking = False
+        self._first_speech_handled = False
+
+    async def process_frame(self, frame: Frame) -> bool:
+        """Process an incoming frame.
+
+        Args:
+            frame: The frame to be processed.
+
+        Returns:
+            Whether the strategy is muted.
+        """
+        await super().process_frame(frame)
+
+        if isinstance(frame, BotStartedSpeakingFrame):
+            await self._handle_bot_started_speaking(frame)
+        elif isinstance(frame, BotStoppedSpeakingFrame):
+            await self._handle_bot_stopped_speaking(frame)
+
+        if self._bot_speaking and not self._first_speech_handled:
+            return True
+
+        return False
+
+    async def _handle_bot_started_speaking(self, frame: BotStartedSpeakingFrame):
+        self._bot_speaking = True
+
+    async def _handle_bot_stopped_speaking(self, frame: BotStoppedSpeakingFrame):
+        self._bot_speaking = False
+        if not self._first_speech_handled:
+            self._first_speech_handled = True
diff --git a/src/pipecat/turns/mute/function_call_user_mute_strategy.py b/src/pipecat/turns/mute/function_call_user_mute_strategy.py
new file mode 100644
index 000000000..938dc5936
--- /dev/null
+++ b/src/pipecat/turns/mute/function_call_user_mute_strategy.py
@@ -0,0 +1,59 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""User mute strategy that mutes the user while a function call is executing."""
+
+from typing import Set
+
+from pipecat.frames.frames import (
+    Frame,
+    FunctionCallCancelFrame,
+    FunctionCallResultFrame,
+    FunctionCallsStartedFrame,
+)
+from pipecat.turns.mute.base_user_mute_strategy import BaseUserMuteStrategy
+
+
+class FunctionCallUserMuteStrategy(BaseUserMuteStrategy):
+    """User mute strategy that mutes the user while a function call is executing.
+
+    This strategy ensures that user input does not interfere with ongoing
+    function execution. While a function call is active, all user frames are
+    muted. Once the function call completes or is canceled, user input is
+    allowed again.
+
+    """
+
+    def __init__(self):
+        """Initialize the function call user mute strategy."""
+        super().__init__()
+        self._function_call_in_progress: Set[str] = set()
+
+    async def reset(self):
+        """Reset the strategy to its initial state."""
+        self._function_call_in_progress = set()
+
+    async def process_frame(self, frame: Frame) -> bool:
+        """Process an incoming frame.
+
+        Args:
+            frame: The frame to be processed.
+
+        Returns:
+            Whether the strategy is muted.
+        """
+        await super().process_frame(frame)
+
+        if isinstance(frame, FunctionCallsStartedFrame):
+            await self._handle_function_calls_started(frame)
+        elif isinstance(frame, (FunctionCallCancelFrame, FunctionCallResultFrame)):
+            self._function_call_in_progress.remove(frame.tool_call_id)
+
+        return bool(self._function_call_in_progress)
+
+    async def _handle_function_calls_started(self, frame: FunctionCallsStartedFrame):
+        for f in frame.function_calls:
+            self._function_call_in_progress.add(f.tool_call_id)
diff --git a/src/pipecat/turns/mute/mute_until_first_bot_complete_user_mute_strategy.py b/src/pipecat/turns/mute/mute_until_first_bot_complete_user_mute_strategy.py
new file mode 100644
index 000000000..093f5356f
--- /dev/null
+++ b/src/pipecat/turns/mute/mute_until_first_bot_complete_user_mute_strategy.py
@@ -0,0 +1,56 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+"""User mute strategy that mutes the user until the bot completes its first speech."""
+
+from pipecat.frames.frames import BotStoppedSpeakingFrame, Frame
+from pipecat.turns.mute.base_user_mute_strategy import BaseUserMuteStrategy
+
+
+class MuteUntilFirstBotCompleteUserMuteStrategy(BaseUserMuteStrategy):
+    """User mute strategy that mutes the user until the bot completes its first speech.
+
+    This strategy mutes user frames immediately from the start of the
+    interaction, even if the bot has not started speaking yet. User input
+    remains muted until the bot finishes its first speaking turn.
+
+    After the bot completes its initial speech, all subsequent user frames are
+    allowed to pass through without muting.
+
+    Use this strategy when the bot must fully control the beginning of the
+    interaction and deliver its first response without any user interruption.
+
+    """
+
+    def __init__(self):
+        """Initialize the mute-until-first-bot-complete user mute strategy."""
+        super().__init__()
+        self._first_speech_handled = False
+
+    async def reset(self):
+        """Reset the strategy to its initial state."""
+        self._first_speech_handled = False
+
+    async def process_frame(self, frame: Frame) -> bool:
+        """Process an incoming frame.
+
+        Args:
+            frame: The frame to be processed.
+
+        Returns:
+            Whether the strategy is muted.
+        """
+        await super().process_frame(frame)
+
+        if isinstance(frame, BotStoppedSpeakingFrame):
+            await self._handle_bot_stopped_speaking(frame)
+
+        return not self._first_speech_handled
+
+    async def _handle_bot_stopped_speaking(self, frame: BotStoppedSpeakingFrame):
+        self._bot_speaking = False
+        if not self._first_speech_handled:
+            self._first_speech_handled = True