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.
Authors
- Kuang Yuan
- Swarun Kumar (ORCID: https://orcid.org/0000-0002-5398-5347)
- Justin Chan (ORCID: https://orcid.org/0000-0002-1471-6187)
- Xiyuxing Zhang (ORCID: https://orcid.org/0009-0002-9337-2278)
- Chengyi Shen (ORCID: https://orcid.org/0000-0002-9134-855X)
Institutions
- Robert Morris University (US)
- Carnegie Mellon University (US)
- Tsinghua University (CN)
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
Funders
- National Science Foundation
- Office of Naval Research