@inproceedings{siegert-etal-2022-public,
title = "Public Interactions with Voice Assistant {--} Discussion of Different One-Shot Solutions to Preserve Speaker Privacy",
author = "Siegert, Ingo and
Sinha, Yamini and
Winkelmann, Gino and
Jokisch, Oliver and
Wendemuth, Andreas",
editor = "Siegert, Ingo and
Rigault, Mickael and
Arranz, Victoria",
booktitle = "Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.legal-1.8",
pages = "44--47",
abstract = "In recent years, the use of voice assistants has rapidly grown. Hereby, above all, the user{'}s speech data is stored and processed on a cloud platform, being the decisive factor for a good performance in speech processing and understanding. Although usually, they can be found in private households, a lot of business cases are also employed using voice assistants for public places, be it as an information service, a tour guide, or a booking system. As long as the systems are used in private spaces, it could be argued that the usage is voluntary and that the user itself is responsible for what is processed by the voice assistant system. When leaving the private space, the voluntary use is not the case anymore, as users may be made aware that their voice is processed in the cloud and background voices can be unintendedly recorded and processed as well. Thus, the usage of voice assistants in public environments raises a lot of privacy concerns. In this contribution, we discuss possible anonymization solutions to hide the speakers{'} identity, thus allowing a safe cloud processing of speech data. Thereby, we promote the public use of voice assistants.",
}
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%0 Conference Proceedings
%T Public Interactions with Voice Assistant – Discussion of Different One-Shot Solutions to Preserve Speaker Privacy
%A Siegert, Ingo
%A Sinha, Yamini
%A Winkelmann, Gino
%A Jokisch, Oliver
%A Wendemuth, Andreas
%Y Siegert, Ingo
%Y Rigault, Mickael
%Y Arranz, Victoria
%S Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F siegert-etal-2022-public
%X In recent years, the use of voice assistants has rapidly grown. Hereby, above all, the user’s speech data is stored and processed on a cloud platform, being the decisive factor for a good performance in speech processing and understanding. Although usually, they can be found in private households, a lot of business cases are also employed using voice assistants for public places, be it as an information service, a tour guide, or a booking system. As long as the systems are used in private spaces, it could be argued that the usage is voluntary and that the user itself is responsible for what is processed by the voice assistant system. When leaving the private space, the voluntary use is not the case anymore, as users may be made aware that their voice is processed in the cloud and background voices can be unintendedly recorded and processed as well. Thus, the usage of voice assistants in public environments raises a lot of privacy concerns. In this contribution, we discuss possible anonymization solutions to hide the speakers’ identity, thus allowing a safe cloud processing of speech data. Thereby, we promote the public use of voice assistants.
%U https://aclanthology.org/2022.legal-1.8
%P 44-47
Markdown (Informal)
[Public Interactions with Voice Assistant – Discussion of Different One-Shot Solutions to Preserve Speaker Privacy](https://aclanthology.org/2022.legal-1.8) (Siegert et al., LEGAL 2022)
ACL