SonicSieve: Bringing Directional Speech Extraction to Smartphones Using Acoustic Microstructures

April 15, 2025 ยท Declared Dead ยท ๐Ÿ› arXiv.org

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Authors Kuang Yuan, Yifeng Wang, Xiyuxing Zhang, Chengyi Shen, Swarun Kumar, Justin Chan arXiv ID 2504.10793 Category cs.SD: Sound Cross-listed cs.HC, cs.LG, eess.AS Citations 3 Venue arXiv.org Last Checked 3 months ago
Abstract
Imagine placing your smartphone on a table in a noisy restaurant and clearly capturing the voices of friends seated around you, or recording a lecturer's voice with clarity in a reverberant auditorium. We introduce SonicSieve, the first intelligent directional speech extraction system for smartphones using a bio-inspired acoustic microstructure. Our passive design embeds directional cues onto incoming speech without any additional electronics. It attaches to the in-line mic of low-cost wired earphones which can be attached to smartphones. We present an end-to-end neural network that processes the raw audio mixtures in real-time on mobile devices. Our results show that SonicSieve achieves a signal quality improvement of 5.0 dB when focusing on a 30ยฐ angular region. Additionally, the performance of our system based on only two microphones exceeds that of conventional 5-microphone arrays.
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