<@U07FRRZH2GN> how can we handle user silence betw...
# ask-ai
f
@icy-policeman-64898 how can we handle user silence between conversation
t
Thanks for reaching out, Abhishek. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To handle user silence during conversations, you can use two main approaches: • Silence Detection for Call Termination: This method involves monitoring the duration of silence and automatically ending the call if the silence exceeds a predefined threshold. You can implement this using a script that tracks the last time the user spoke and disconnects the call after a set period of inactivity. • End-of-Utterance (EOU) Detection: This approach uses Voice Activity Detection (VAD) and a turn detection model to determine if the user has completed their turn. You can configure parameters like minimum silence duration and endpointing delays to fine-tune the detection process. Let me know if you need further details or assistance with implementing these methods! Sources: How to detect and handle silence during calls | How does end-of-utterance detection work in conversations?
f
can you give me more details on Silence Detection for Call Termination
t
Certainly! Here are more details on Silence Detection for Call Termination: This method involves monitoring the duration of silence during a call and automatically ending the call if the silence exceeds a predefined threshold. Below is an example implementation:
Copy code
import asyncio
import time

SILENCE_THRESHOLD = 5  # seconds

async def entrypoint(ctx: JobContext):
    user_last_spoke_time = time.time()
    monitor_task = None

    async def monitor_interaction():
        while True:
            if time.time() - user_last_spoke_time > SILENCE_THRESHOLD:
                <http://logger.info|logger.info>("silent for too long! disconnecting")
                try:
                    await ctx.room.disconnect()
                except Exception as e:
                    logger.exception("Error while ending call")
            else:
                logger.trace("silence is not enough to disconnect")
            await asyncio.sleep(1)

    @agent.on("user_started_speaking")
    def on_user_started_speaking(_msg: llm.ChatMessage):
        user_last_spoke_time = time.time()

    monitor_task = asyncio.create_task(monitor_interaction())
Key Points:SILENCE_THRESHOLD: This is the duration (in seconds) of silence after which the call will be terminated. You can adjust this value based on your requirements. • Monitoring Task: A background task continuously checks the time elapsed since the user last spoke. If the elapsed time exceeds the threshold, the call is disconnected. • Event Listener: The system listens for events like "user_started_speaking" to reset the silence timer whenever the user speaks. This approach is particularly useful for scenarios like voicemail detection or ensuring efficient resource usage in automated systems. Let me know if you need further clarification or help with implementation!
k
is user_started_speaking still available in v1.0?
t
In LiveKit Agents v1.0, the
user_started_speaking
event is no longer available as a separate event. Instead, it has been combined into a single
user_state_changed
event, which encompasses both speaking and other state changes. This change is part of the state change events overhaul introduced in version 1.0. Let me know if you need guidance on adapting to this updated event structure! Sources: Agents 0.x migration guide | LiveKit Docs
k
agent_state_changed doesn't have Agent stopped speaking event..Give me an example on how implement this with v1.0
t
I'm sorry, but I don't have the information you need at the moment. If you would like a member of the LiveKit team to respond, please ask your question in one of the other channels.
f
@icy-policeman-64898 Is there any other way to detect user silence between conversation?