EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hugging Face Blog·Aug 10·5 min read
Build Low-Latency Multilingual Voice Agents: Open Weights & Full Deployment Control with NVIDIA Magpie TTS
TL;DR
NVIDIA Magpie TTS enables the creation of low-latency multilingual voice agents with open weights and full deployment control, optimizing the user experience. This tool allows developers to fine-tune speech generation components for better performance in their specific domains.
✦ Why It Matters
Start using NVIDIA Magpie TTS today to optimize your multilingual voice applications for lower latency.
Key Takeaways
- Utilize Magpie TTS for multilingual voice applications.
- Achieve low latency with TTFA as low as 32ms.
- Customize pronunciation and voices for your domain.
- Deploy on your own infrastructure for better control.
How It Works
Magpie TTS employs frame stacking and local transformers to enhance speech generation speed and quality. Frame stacking allows the decoder to predict two audio frames simultaneously, reducing the number of iterations needed.
The local transformer addresses potential quality loss by modeling dependencies between generated audio tokens, ensuring natural speech synthesis.