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{ "pk": 28733, "title": "A Surprising Density of Illusionable Natural Speech", "subtitle": null, "abstract": "Recent work on adversarial examples demonstrates a brittleness of many state-of-the-art machine learning systems. Weinvestigate one human analog, asking: What fraction of natural speech can be turned into illusions which alter humans per-ception or result in different people having significantly different perceptions? Using generated videos, we first empiricallyestimate that 17% of words occurring in natural speech have some susceptibility to the McGurk effect–the phenomenonby which adding a carefully chosen video clip to the audio channel affects the viewers perception of the message. We de-velop a bag-of-phonemes prediction model for word-level illusionability that we extend with natural language modeling tobuild a sentence-level framework. We train an instantiation using Amazon Mechanical Turk evaluations on sentence-levelillusions. Finally we generate several new instances of the Yanny/Laurel illusion, demonstrating that it is not an isolatedoccurrence. The surprising density of illusionable instances warrants further investigation from cognitive and securityperspectives.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Papers with Poster Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/1f32959f", "frozenauthors": [ { "first_name": "Melody", "middle_name": "Y.", "last_name": "Guan", "name_suffix": "", "institution": "Stanford University", "department": "" }, { "first_name": "Gregory", "middle_name": "", "last_name": "Valiant", "name_suffix": "", "institution": "Stanford University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2019-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28733/galley/18604/download/" } ] }