WaveCommitments: Private and Verifiable Speech-Agent Marketplaces
A new arXiv paper introduces WaveCommitments, an end‑to‑end design that combines multivariate polynomial commitments with confidential asset valuation via Data Shapley inside a trusted execution environment. The system lets sellers open selected parts of a speech asset and provides tamper‑evident provenance so buyers can verify that the delivered asset matches the valuation without seeing the…
Key points
- WaveCommitments uses multivariate polynomial commitments and Data Shapley in a trusted execution environment.
The authors evaluate WaveCommitments on three standard datasets and a range of tasks using state‑of‑the‑art encoders, including Whisper. The paper also analyses how a speaker’s value changes across tasks and encoders, exposing agent‑level market prices.
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