New open-source text-to-speech models come out every week, with many ranking as state-of-the-art on popular benchmarks.However, most of these models are not readily usable for high-volume, low-latency inference.
Additionally, some research preview models can struggle with hallucinations and inconsistent outputs.
Finally, as with any model, hosting yourself and managing compute can be a headache.Voicelab solves these problems:
Voicelab maintains a proprietary inference stack that is optimized to serve text-to-speech transformers efficiently and scalably.
Voicelab post-trains select models to improve consistency and offer high-quality professional voice clones.
Voicelab manages all compute, so you can pay for these models per-character instead of managing GPUs.