Practical Speech Re-use Prevention in Voice-driven Services Article Swipe
Yangyong Zhang
,
Maliheh Shirvanian
,
Sunpreet S. Arora
,
Jianwei Huang
,
Guofei Gu
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2101.04773
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2101.04773
Voice-driven services (VDS) are being used in a variety of applications ranging from smart home control to payments using digital assistants. The input to such services is often captured via an open voice channel, e.g., using a microphone, in an unsupervised setting. One of the key operational security requirements in such setting is the freshness of the input speech. We present AEOLUS, a security overlay that proactively embeds a dynamic acoustic nonce at the time of user interaction, and detects the presence of the embedded nonce in the recorded speech to ensure freshness. We demonstrate that acoustic nonce can (i) be reliably embedded and retrieved, and (ii) be non-disruptive (and even imperceptible) to a VDS user. Optimal parameters (acoustic nonce's operating frequency, amplitude, and bitrate) are determined for (i) and (ii) from a practical perspective. Experimental results show that AEOLUS yields 0.5% FRR at 0% FAR for speech re-use prevention upto a distance of 4 meters in three real-world environments with different background noise levels. We also conduct a user study with 120 participants, which shows that the acoustic nonce does not degrade overall user experience for 94.16% of speech samples, on average, in these environments. AEOLUS can therefore be used in practice to prevent speech re-use and ensure the freshness of speech input.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2101.04773
- https://arxiv.org/pdf/2101.04773
- OA Status
- green
- Cited By
- 2
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3120188007
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3120188007Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2101.04773Digital Object Identifier
- Title
-
Practical Speech Re-use Prevention in Voice-driven ServicesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
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2021-01-12Full publication date if available
- Authors
-
Yangyong Zhang, Maliheh Shirvanian, Sunpreet S. Arora, Jianwei Huang, Guofei GuList of authors in order
- Landing page
-
https://arxiv.org/abs/2101.04773Publisher landing page
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https://arxiv.org/pdf/2101.04773Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2101.04773Direct OA link when available
- Concepts
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Cryptographic nonce, Computer science, Microphone, Phone, Speech recognition, Computer security, Telecommunications, Sound pressure, Linguistics, Encryption, PhilosophyTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2023: 1, 2021: 1Per-year citation counts (last 5 years)
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31Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.security | 47, 63 |
| abstract_inverted_index.services | 1, 25 |
| abstract_inverted_index.setting. | 41 |
| abstract_inverted_index.(acoustic | 118 |
| abstract_inverted_index.different | 161 |
| abstract_inverted_index.freshness | 54, 210 |
| abstract_inverted_index.operating | 120 |
| abstract_inverted_index.practical | 133 |
| abstract_inverted_index.therefore | 198 |
| abstract_inverted_index.amplitude, | 122 |
| abstract_inverted_index.background | 162 |
| abstract_inverted_index.determined | 126 |
| abstract_inverted_index.experience | 185 |
| abstract_inverted_index.frequency, | 121 |
| abstract_inverted_index.freshness. | 92 |
| abstract_inverted_index.parameters | 117 |
| abstract_inverted_index.prevention | 149 |
| abstract_inverted_index.real-world | 158 |
| abstract_inverted_index.retrieved, | 104 |
| abstract_inverted_index.assistants. | 20 |
| abstract_inverted_index.demonstrate | 94 |
| abstract_inverted_index.microphone, | 37 |
| abstract_inverted_index.operational | 46 |
| abstract_inverted_index.proactively | 66 |
| abstract_inverted_index.Experimental | 135 |
| abstract_inverted_index.Voice-driven | 0 |
| abstract_inverted_index.applications | 10 |
| abstract_inverted_index.environments | 159 |
| abstract_inverted_index.interaction, | 77 |
| abstract_inverted_index.perspective. | 134 |
| abstract_inverted_index.requirements | 48 |
| abstract_inverted_index.unsupervised | 40 |
| abstract_inverted_index.environments. | 195 |
| abstract_inverted_index.participants, | 173 |
| abstract_inverted_index.imperceptible) | 111 |
| abstract_inverted_index.non-disruptive | 108 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile |