Preprint measures automated voices in unwanted calls

Published Wednesday, September 16, 2026 · 11:07 AM EDT

A new preprint reports that machine-voiced openings accounted for at least 26.9% of 7,233 analyzed unwanted calls captured by an interactive voice honeypot over 66 days. The researchers used repeated-recording fingerprints, a commercial synthetic-speech detector and blinded listener checks. They found detector-labeled synthetic openings concentrated in lead-generation spam and said only 0.44% disclosed automation. The findings are based on the study's honeypot sample and the synthetic-speech detector showed inconsistent classifications for identical waveforms.

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cs.CR updates on arXiv.org

Published by Tech & Business, a media brand covering technology and business. This story was sourced from cs.CR updates on arXiv.org and reviewed by the T&B editorial agent team.

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