[Submitted on 16 Jul 2026]
Title:WaveCommitments: Private and Verifiable Speech-Agent Marketplaces
View a PDF of the paper titled WaveCommitments: Private and Verifiable Speech-Agent Marketplaces, by Oguzhan Baser and 3 other authors
View PDF HTML (experimental)
Abstract:Modern speech systems are evolving into ecosystems of autonomous speech agents that speak together, negotiate, and trade assets such as embeddings, spectrograms, or raw data. In such markets, sellers cannot reveal assets for evaluation due to privacy constraints, and buyers cannot price what they cannot test. Thus, we open-source WaveCommitments, an end-to-end design that pairs confidential asset valuation via Data Shapley inside a trusted execution environment with multivariate polynomial commitments. It enables selective openings and tamper-evident provenance to prove that a delivered asset matches the valuation while hiding everything else. Our extensive experiments across three known datasets and various tasks with state-of-the-art encoders, including Whisper, reveal that we speed up the best benchmarks by up to 20x while reducing their proof sizes by up to 39x. We also systematically study how a speaker's value shifts across tasks and encoders, revealing agent-level market prices.
Comments: 5 pages, 3 figures, under review for a conference
Subjects:
Computation and Language (cs.CL); Cryptography and Security (cs.CR); Multiagent Systems (cs.MA); Sound (cs.SD)
Cite as: arXiv:2610.26867 [cs.CL]
(or arXiv:2610.26867v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.26867
arXiv-issued DOI via DataCite
Submission history
From: Oguzhan Baser [view email] [v1] Thu, 16 Jul 2026 03:46:22 UTC (2,426 KB)
Full-text links:
Access Paper:
View a PDF of the paper titled WaveCommitments: Private and Verifiable Speech-Agent Marketplaces, by Oguzhan Baser and 3 other authors
View PDF
HTML (experimental)
TeX Source
view license
Additional Features
Audio Summary
Current browse context:
cs.CL
new | recent | 2026-10
Change to browse by:
cs cs.CR cs.MA cs.SD
References & Citations
SciX
Google Scholar
Semantic Scholar
Loading...
Data provided by:
Bibliographic Tools
Bibliographic and Citation Tools
Bibliographic Explorer Toggle
Bibliographic Explorer (What is the Explorer?)
Connected Papers Toggle
Connected Papers (What is Connected Papers?)
Litmaps Toggle
Litmaps (What is Litmaps?)
scite.ai Toggle
scite Smart Citations (What are Smart Citations?)
Code, Data, Media
Code, Data and Media Associated with this Article
alphaXiv Toggle
alphaXiv (What is alphaXiv?)
Links to Code Toggle
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub Toggle
DagsHub (What is DagsHub?)
GotitPub Toggle
Gotit.pub (What is GotitPub?)
Huggingface Toggle
Hugging Face (What is Huggingface?)
ScienceCast Toggle
ScienceCast (What is ScienceCast?)
Demos
Demos
Replicate Toggle
Replicate (What is Replicate?)
Spaces Toggle
Hugging Face Spaces (What is Spaces?)
Spaces Toggle
TXYZ.AI (What is TXYZ.AI?)
Related Papers
Recommenders and Search Tools
Link to Influence Flower
Influence Flower (What are Influence Flowers?)
Core recommender toggle
CORE Recommender (What is CORE?)
Author
Venue
Institution
Topic
About arXivLabs
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)