Do AI Voices Learn Social Nuances? A Case of Politeness and Speech Rate

November 12, 2025 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Eyal Rabin, Zohar Elyoseph, Rotem Israel-Fishelson, Adi Dali, Ravit Nussinson arXiv ID 2511.10693 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.HC, cs.SD Citations 0 Venue arXiv.org Last Checked 6 months ago
Abstract
Voice-based artificial intelligence is increasingly expected to adhere to human social conventions, but can it learn implicit cues that are not explicitly programmed? This study investigates whether state-of-the-art text-to-speech systems have internalized the human tendency to reduce speech rate to convey politeness - a non-obvious prosodic marker. We prompted 22 synthetic voices from two leading AI platforms (AI Studio and OpenAI) to read a fixed script under both "polite and formal" and "casual and informal" conditions and measured the resulting speech duration. Across both AI platforms, the polite prompt produced slower speech than the casual prompt with very large effect sizes, an effect that was statistically significant for all of AI Studio's voices and for a large majority of OpenAI's voices. These results demonstrate that AI can implicitly learn and replicate psychological nuances of human communication, highlighting its emerging role as a social actor capable of reinforcing human social norms.
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