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Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference

Abstract : Internet-connected devices, such as smartphones, smartwatches, and laptops, have become ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors most commonly found in such devices are microphones. While various privacy concerns related to microphone-equipped devices have been raised and thoroughly discussed, the threat of unexpected inferences from audio data remains largely overlooked. Drawing from literature of diverse disciplines, this paper presents an overview of sensitive pieces of information that can, with the help of advanced data analysis methods, be derived from human speech and other acoustic elements in recorded audio. In addition to the linguistic content of speech, a speaker’s voice characteristics and manner of expression may implicitly contain a rich array of personal information, including cues to a speaker’s biometric identity, personality, physical traits, geographical origin, emotions, level of intoxication and sleepiness, age, gender, and health condition. Even a person’s socioeconomic status can be reflected in certain speech patterns. The findings compiled in this paper demonstrate that recent advances in voice and speech processing induce a new generation of privacy threats.
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https://hal.inria.fr/hal-03378930
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Submitted on : Thursday, October 14, 2021 - 5:39:48 PM
Last modification on : Wednesday, November 3, 2021 - 8:14:30 AM
Long-term archiving on: : Saturday, January 15, 2022 - 7:54:23 PM

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Jacob Leon Kröger, Otto Hans-Martin Lutz, Philip Raschke. Privacy Implications of Voice and Speech Analysis – Information Disclosure by Inference. 14th IFIP International Summer School on Privacy and Identity Management (Privacy and Identity), Aug 2019, Windisch, Switzerland. pp.242-258, ⟨10.1007/978-3-030-42504-3_16⟩. ⟨hal-03378930⟩

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