SonicSieve: Bringing Directional Speech Extraction to Smartphones Using Acoustic Microstructures

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 30° angular region. Additionally, the performance of our system based on only two microphones exceeds that of conventional 5-microphone arrays.

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Publication Details

Published
2026-04-13
DOI
https://doi.org/10.1145/3772318.3790376
Citations
1
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00

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SonicSieve: Bringing Directional Speech Extraction to Smartphones Using Acoustic Microstructures

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SonicSieve: Bringing Directional Speech Extraction to Smartphones Using Acoustic Microstructures

Kuang Yuan, Swarun Kumar, Justin Chan, Xiyuxing Zhang, Chengyi Shen
article en
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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 30° angular region. Additionally, the performance of our system based on only two microphones exceeds that of conventional 5-microphone arrays.

Robert Morris University (US), Carnegie Mellon University (US), Tsinghua University (CN)
National Science Foundation, Office of Naval Research
Openalex Percentile: Top 98%
Speech and Audio Processing
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