Into:Vocence
Prompt a voice, score the result
As of · Jun 14, 12:27 UTC
Describe a voice in plain words, a calm middle-aged man reading slowly and warmly, and Vocence asks AI to actually produce it, then pays them by how closely they hit the brief.
What is Vocence
Vocence is a Bittensor built around voice AI. Miners build text-to-speech models that take a line of text plus a written description of how it should sound, and return spoken audio. send the same prompts to every miner and grade how well each one matches the request.
The simple version: It is like commissioning a voice actor by describing them in a sentence, except the actors are AI models competing to match your description most closely.
Centralized equivalent: Think ElevenLabs or OpenAI's text-to-speech, but run as an open competition where many models bid to read your text instead of one company's fixed API.
How it works:
- Miners train and deploy prompt-driven text-to-speech models that take text plus a voice instruction (tone, emotion, accent, pace, age) and return a spoken audio file.
- Validators send the same evaluation prompts to every miner, then score the returned audio on three things: whether it says the right words, whether it sounds clean, and whether the voice matches the requested traits.
Why This Matters
Other research from the same neighborhood of the network.
