How can I use noise reduction for my

VoicePipelineAgent

in python.

To use noise reduction with your

VoicePipelineAgent

in Python, you can integrate Krisp's noise suppression technology, which is available for LiveKit cloud users on the Ship plan or higher. This can help reduce background noise that might interfere with the agent's performance. According to LiveKit documentation, Krisp is integrated to provide best-in-class noise suppression for AI agents. Would you like more details on how to implement this or explore other noise reduction options? Sources: - AI voice agents | LiveKit Docs 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 How can I implement it in Python

It seems likely that to implement noise reduction in Python for a

VoicePipelineAgent

, you would need to use the Krisp noise filter, which is integrated with LiveKit for cloud users. However, if you are self-hosting or looking for an alternative, you might consider using an open-source solution like RNNoise. Here's a basic outline of how you might set up a

VoicePipelineAgent

with noise reduction: 1. Krisp Integration: If you are using LiveKit Cloud, you can enable Krisp noise cancellation by configuring it in your LiveKit project settings. Unfortunately, Krisp is not available for self-hosted setups without a separate license. 2. Alternative with RNNoise: For self-hosted setups, you can integrate RNNoise by creating a custom audio processing pipeline. This involves capturing audio frames, processing them with RNNoise, and then feeding the processed audio into the

VoicePipelineAgent

. Here's a simplified example of how you might set up a

VoicePipelineAgent

with a custom noise reduction process:

from livekit.agents import VoicePipelineAgent
from livekit.plugins import silero, deepgram, openai, cartesia

# Load your VAD and STT models
vad = silero.VAD.load()
stt = deepgram.STT(model="nova-2-general")

# Initialize the VoicePipelineAgent
agent = VoicePipelineAgent(
    vad=vad,
    stt=stt,
    llm=openai.LLM(),
    tts=cartesia.TTS(),
    allow_interruptions=True,
    interrupt_speech_duration=0.5,
    min_endpointing_delay=0.5
)

# Custom noise reduction logic would be implemented here
# For example, using RNNoise to process audio frames before passing them to the agent

Would you like more detailed guidance on setting up RNNoise or integrating with Krisp? Sources: - https://docs.livekit.io/agents/voice-agent/voice-pipeline/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.