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Practical Speech Re-use Prevention in Voice-driven Services

arXiv 2101.04773 ↗First posted 12 Jan 2021cs.SD cs.AI cs.CRcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 54 references that are in the map. First posted on arXiv 12 Jan 2021.

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8 of 54 references.

References · 8

  1. 2017DolphinAtack: Inaudible Voice Commandscited by 69
  2. 2019Who is Real Bob? Adversarial Attacks on Speaker Recognition Systemscited by 67
  3. 2017The Microsoft 2017 Conversational Speech Recognition Systemcited by 52
  4. 2019Practical Hidden Voice Attacks against Speech and Speaker Recognition Systemscited by 36
  5. 2017Continuous Authentication for Voice Assistantscited by 9
  6. 2019ReMASC: Realistic Replay Attack Corpus for Voice Controlled Systemscited by 7
  7. 2020When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognitioncited by 4
  8. 2018Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cuescited by 3

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