mmPhone: Acoustic Eavesdropping on Loudspeakers via mmWave-characterized Piezoelectric Effect
Chao Wang, Feng Lin, Tiantian Liu, Ziwei Liu, Yijie Shen, Zhongjie Ba, Li Lu, Wenyao Xu, Kui Ren
Abstract
More and more people turn to online voice communication with loudspeaker-equipped devices due to its convenience. To prevent speech leakage, soundproof rooms are often adopted. This paper presents mmPhone, a novel acoustic eavesdropping system that recovers loudspeaker speech protected by soundproof environments. The key idea is that properties of piezoelectric films in mmWave band can change with sound pressure due to the piezoelectric effect. If the property changes are acquired by an adversary (i.e., characterizing the piezoelectric effect with mmWaves), speech leakage can happen. More importantly, the piezoelectric film can work without a power supply. Base on this, we proposed a methodology using mmWaves to sense the film and decoding the speech from mmWaves, which turns the film into a passive "microphone". To recover intelligible speech, we further develop an enhancement scheme based on a denoising neural network, multi-channel augmentation, and speech synthesis, to compensate for the propagation and penetration loss of mmWaves. We perform extensive experiments to evaluate mmPhone and conduct digit recognition with over 93% accuracy. The results indicate mmPhone can recover high-quality and intelligible speech from a distance over 5m and is resilient to incident angles of sound waves (within 55 degrees) and different types of loudspeakers.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get d4c8b216-d669-4ee7-ad38-a5ac325610e6Cited by top-tier papers17
- MILLIEAR: Millimeter-wave Acoustic Eavesdropping with Unconstrained VocabularyPengfei Hu, Yifan Ma, Panneer Selvam Santhalingam, Parth H. Pathak et al.INFOCOM 2022 · 60 citations
- mmEve: eavesdropping on smartphone's earpiece via COTS mmWave deviceChao Wang, Feng Lin, Tiantian Liu, Kaidi Zheng et al.MobiCom 2022 · 60 citations
- mmMIC: Multi-modal Speech Recognition based on mmWave RadarLong Fan, Lei Xie, Xinran Lu, Yi Li et al.INFOCOM 2023 · 41 citations
- Radio2Text: Streaming Speech Recognition Using mmWave Radio SignalsRunning Zhao, Jiangtao Yu, Hang Zhao, Edith C. H. NgaiUbiComp 2023 · 22 citations
- VibSpeech: Exploring Practical Wideband Eavesdropping via Bandlimited Signal of Vibration-based Side ChannelChao Wang, Feng Lin, Hao Yan, Tong Wu et al.USENIX Security 2024 · 16 citations
Related papers
- Wavesdropper: Through-wall Word Detection of Human Speech via Commercial mmWave DevicesChao Wang, Feng Lin, Zhongjie Ba, Fan Zhang et al.UbiComp 2022 · 40 citations
- mmEavesdropper: Signal Augmentation-based Directional Eavesdropping with mmWave RadarYiwen Feng, Kai Zhang, Chuyu Wang, Lei Xie et al.INFOCOM 2023 · 33 citations
- We Can Hear You with mmWave Radar! An End-to-End Eavesdropping SystemDachao Han, Teng Huang, Han Ding, Cui Zhao et al.UbiComp 2026 · 5 citations
- mmEcho: A mmWave-based Acoustic Eavesdropping MethodPengfei Hu, Wenhao Li, Riccardo Spolaor, Xiuzhen ChengS&P 2023
- Privacy Leakage via Speech-induced Vibrations on Room Objects through Remote Sensing based on Phased-MIMOCong Shi, Tianfang Zhang, Zhaoyi Xu, Shuping Li et al.CCS 2023 · 10 citations
