Qweek Research
Roadmap: Proprietary Voice Models
Research in progress on training workspace-scoped voice models for dialogue sync in Motion mode, integrated with Character Bank voice_model_id fields.
Status
Research in progress. This document outlines our intended approach; no production voice training pipeline is live yet.
Goal
Map each Character Bank entry's voice_model_id to a consistent, workspace-owned voice that lip-syncs reliably in MOTION mode — reducing dependency on third-party TTS variance across episodes.
Planned approach
- Data — Curated dialogue samples per character with consent and workspace isolation.
- Training — Fine-tune or adapter-tune on ElevenLabs-class or open voice models per workspace tier.
- Inference — Worker pipeline selects character voice from bible before motion generation.
- Evaluation — MOS-style consistency checks across N shots in a sequence.
Non-goals (initial)
- Real-time voice cloning from single samples
- Cross-workspace model sharing without explicit export
We will publish metrics and methodology when the pipeline reaches design-partner trials.