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  4. Privacy implications of voice and speech analysis - information disclosure by inference
 
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2020
Conference Paper
Title

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.
Author(s)
Kröger, Jacob Leon
Technische Universität Berlin  
Lutz, Otto Hans-Martin
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS  
Müller, Florian
Technische Universität Berlin  
Raschke, P.
Mainwork
Privacy and identity management. Data for better living: AI and privacy  
Conference
Summer School on Privacy and Identity Management "Data for Better Living - Artificial Intelligence and Privacy" 2019  
Open Access
DOI
10.1007/978-3-030-42504-3_16
Additional full text version
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