Cloud-Boosted Low-Compute Multi-Channel Speech Enhancement
Low-latency, low-compute speech enhancement is essential for wearable devices with real-time communication requirements, but strict computational constraints significantly limit on-device performance. Knowledge Boosting has been proposed as an effective approach to improve edge model performance by leveraging a more capable server-side model, but performance gains for speech enhancement have been limited. We propose a collaborative framework incorporating three techniques: (1) delayed server output as additional input, (2) layerwise feature boosting that transfers intermediate server representations to guide edge inference, and (3) collaborative multichannel Wiener filtering, which fuses ...
| Authors | Xulin Fan, Juan Azcarreta, Ashutosh Pandey et al. |
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| Primary category | cs.SD |
| Published | 7 August 2026 |
| Last updated at source | 7 August 2026 |
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