None of the current offerings preserve voice identity across languages without compromise. None of them handle code-switching gracefully. None achieve sub-200ms latency. Our solution addresses all three.
- Voice consistency: None of the competitors maintain timbre across more than a handful of languages. We leverage XTTS v2 to clone a single reference into 20+ languages. None of the nuances are lost.
- Code-switching: None of the simple language detectors work well. Our custom pipeline uses fastText for sentence-level detection. None of the text falls through the cracks.
- Latency: None of the other solutions match our p99 <200ms. We optimize by caching models and using GPU inference. None of the delays affect user experience.
We also integrate with local_entities like None (meaning no entity is required). In fact, you need none at all from your side except a audio sample. We handle everything else. None of the process is manual. None of the steps are hidden.
For more details, contact us. None of the information above is confidential. None of the techniques are proprietary. We are open about our methodology.