The GDPR & Speech Data: Reflections of Legal and Technology Communities, First Steps towards a Common Understanding
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Abstract (arXiv)
Privacy preservation and the protection of speech data is in high demand, not least as a result of recent regulation, e.g. the General Data Protection Regulation (GDPR) in the EU. While there has been a period with which to prepare for its implementation, its implications for speech data is poorly understood. This assertion applies to both the legal and technology communities, and is hardly surprising since there is no universal definition of 'privacy', let alone a clear understanding of when or how the GDPR applies to the capture, storage and processing of speech data. In aiming to initiate the discussion that is needed to establish a level of harmonisation that is thus far lacking, this contribution presents some reflections of both legal and technology communities on the implications of the GDPR as regards speech data. The article outlines the need for taxonomies at the intersection of speech technology and data privacy - a discussion that is still very much in its infancy - and describes the ways to safeguards and priorities for future research. In being agnostic to any specific application, the treatment should be of interest to the speech communication community at large.
Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jul 2019.
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Citing papers per year: 2021: 4; 2022: 6; 2023: 1; 2024: 1; 2025: 5; 2026: 1.
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- 2021The VoicePrivacy 2020 Challenge: Results and findingscited by 45
- 2022The VoicePrivacy 2022 Challenge Evaluation Plancited by 18
- 2022Differentially Private Speaker Anonymizationcited by 16
- 2022Improving speaker de-identification with functional data analysis of f0 trajectoriescited by 11
- 2022Are disentangled representations all you need to build speaker anonymization systems?cited by 10
- 2022The VoicePrivacy 2020 Challenge Evaluation Plancited by 6
- 2025Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speechcited by 6
- 2025"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understandingcited by 5
- 2021On the invertibility of a voice privacy system using embedding alignementcited by 4
- 2025Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systemscited by 3
- 2021Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognitioncited by 2
- 2024Exploratory Evaluation of Speech Content Maskingcited by 2
6 more
- 2021Evaluating X-vector-based Speaker Anonymization under White-box Assessmentcited by 1
- 2022Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voicescited by 1
- 2023Evaluation of Speaker Anonymization on Emotional Speechcited by 1
- 2025Target speaker anonymization in multi-speaker recordingscited by 1
- 2025Protecting Bystander Privacy via Selective Hearing in Audio LLMscited by 1
- 2026Anonymization, Not Elimination: Utility-Preserved Speech Anonymizationcited by 0
- 2026Anonymization, Not Elimination: Utility-Preserved Speech Anonymization18 Apr 2026
- 2025Protecting Bystander Privacy via Selective Hearing in Audio LLMs6 Dec 2025
- 2025Target speaker anonymization in multi-speaker recordings10 Oct 2025
- 2025Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech27 Jul 2025
- 2025Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems21 Jul 2025
- 2025"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding21 May 2025
- 2024Exploratory Evaluation of Speech Content Masking8 Jan 2024
- 2023Evaluation of Speaker Anonymization on Emotional Speech15 Apr 2023
- 2022Are disentangled representations all you need to build speaker anonymization systems?22 Aug 2022
- 2022The VoicePrivacy 2020 Challenge Evaluation Plan14 May 2022
- 2022Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices4 Apr 2022
- 2022Improving speaker de-identification with functional data analysis of f0 trajectories31 Mar 2022
6 more
- 2022The VoicePrivacy 2022 Challenge Evaluation Plan23 Mar 2022
- 2022Differentially Private Speaker Anonymization23 Feb 2022
- 2021Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition7 Nov 2021
- 2021On the invertibility of a voice privacy system using embedding alignement8 Oct 2021
- 2021Evaluating X-vector-based Speaker Anonymization under White-box Assessment24 Sep 2021
- 2021The VoicePrivacy 2020 Challenge: Results and findings1 Sep 2021
- 2021The VoicePrivacy 2020 Challenge: Results and findingscited by 45
- 2022The VoicePrivacy 2022 Challenge Evaluation Plancited by 18
- 2022Differentially Private Speaker Anonymizationcited by 16
- 2022Improving speaker de-identification with functional data analysis of f0 trajectoriescited by 11
- 2022Are disentangled representations all you need to build speaker anonymization systems?cited by 10
- 2022The VoicePrivacy 2020 Challenge Evaluation Plancited by 6
- 2021On the invertibility of a voice privacy system using embedding alignementcited by 4
- 2025Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systemscited by 3
- 2021Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognitioncited by 2
- 2024Exploratory Evaluation of Speech Content Maskingcited by 2
- 2021Evaluating X-vector-based Speaker Anonymization under White-box Assessmentcited by 1
- 2022Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voicescited by 1
12 most cited of 16 All 16 (JSON)
- 2026Anonymization, Not Elimination: Utility-Preserved Speech Anonymization18 Apr 2026
- 2025Protecting Bystander Privacy via Selective Hearing in Audio LLMs6 Dec 2025
- 2025Target speaker anonymization in multi-speaker recordings10 Oct 2025
- 2025Exploiting Context-dependent Duration Features for Voice Anonymization Attack Systems21 Jul 2025
- 2024Exploratory Evaluation of Speech Content Masking8 Jan 2024
- 2023Evaluation of Speaker Anonymization on Emotional Speech15 Apr 2023
- 2022Are disentangled representations all you need to build speaker anonymization systems?22 Aug 2022
- 2022The VoicePrivacy 2020 Challenge Evaluation Plan14 May 2022
- 2022Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices4 Apr 2022
- 2022Improving speaker de-identification with functional data analysis of f0 trajectories31 Mar 2022
- 2022The VoicePrivacy 2022 Challenge Evaluation Plan23 Mar 2022
- 2022Differentially Private Speaker Anonymization23 Feb 2022
12 newest of 16 All 16 (JSON)