Cost and speed
Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS
Our short summary of Hugging Face’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on huggingface.co (opens in a new tab)Problem
Voice responses were too slow, making the whole conversation feel laggy for users.
Solution
They built a modular speech pipeline using NVIDIA Magpie TTS with open weights, letting them run ASR, LLM, and TTS on their own hardware and tune each part for speed.
Research behind this, on AI Papers DailyDiscovering Interpretable Acoustic Features in Autoregressive Voice-Cloning TTS Models
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on huggingface.co (opens in a new tab)