Vocence subnet 78
Vocence focuses Bittensor incentives on voice intelligence. Official sources describe prompt-based text-to-speech, speech-to-text, speech-to-speech, voice cloning, and related multimodal audio tasks. Miners are expected to produce models that follow content and voice-style prompts, while validators evaluate audio quality and prompt adherence. This makes Vocence a specialized audio layer within the broader decentralized AI stack.
About Vocence subnet 78
Vocence is a decentralized voice-AI subnet for speech generation, voice transformation, and audio model evaluation.
Voice applications need high-quality, controllable audio generation and evaluation without relying only on closed speech platforms.
Voice app builders, audio AI researchers, speech-model developers, creators, miners, and validators.
Team and ownership
Vocence publishes official project and GitHub materials. Koyuki, also referenced as Special K, is the public founder associated with the project, but detailed official biographies and locations are not available.
- Koyuki, Founder, Vocence: Background in AI across web2 and web3.
Key pages:
learn about Bittensor,
Bittensor glossary,
Bittensor FAQ,
Bittensor subnet screener,
portfolio tracker,
subnet baskets,
Neuralteq validator,
and fees.