Building Ultra-Low-Latency Voice Agents with NVIDIA Open Models
By
kwindla
If you only eat one bagel today, this is the bagel.
Summary
This technical guide demonstrates how to build ultra-low-latency voice agents using NVIDIA's open models, including the newly launched Nemotron Speech ASR for sub-25ms transcription, Nemotron 3 Nano LLM for natural language processing, and Magpie TTS for text-to-speech. The article provides a comprehensive tutorial on optimizing these models with Pipecat's low-latency building blocks to create real-time voice AI applications with minimal response times. It includes practical code examples and GitHub repository access for implementation.
Key quotes
· 5 pulledThis post accompanies the launch of NVIDIA Nemotron Speech ASR on Hugging Face.
In this post, we'll build a voice agent using three NVIDIA open models.
This voice agent leverages the new streaming ASR model, Pipecat's low-latency voice agent building blocks, and some fun code experiments to optimize all three models for very fast response times.
All the code for the post is here in this GitHub repository.
Build an ultra-low-latency voice agent with NVIDIA open models.
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