Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds
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Abstract (arXiv)
This paper introduces a speech enhancement solution tailored for true wireless stereo (TWS) earbuds on-device usage. The solution was specifically designed to support conversations in noisy environments, with active noise cancellation (ANC) activated. The primary challenges for speech enhancement models in this context arise from computational complexity that limits on-device usage and latency that must be less than 3 ms to preserve a live conversation. To address these issues, we evaluated several crucial design elements, including the network architecture and domain, design of loss functions, pruning method, and hardware-specific optimization. Consequently, we demonstrated substantial improvements in speech enhancement quality compared with that in baseline models, while simultaneously reducing the computational complexity and algorithmic latency.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 19 of its 34 references that are in the map. First posted on arXiv 27 Sep 2024.
Builds on
19 of 34 references.
References · 19
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- 2020TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aidscited by 41
7 more
- 2022SPDY: Accurate Pruning with Speedup Guaranteescited by 34
- 2022STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latencycited by 14
- 2019End-to-End Multi-Task Denoising for joint SDR and PESQ Optimizationcited by 8
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- 2023Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challengecited by 7
- 2022Iterative autoregression: a novel trick to improve your low-latency speech enhancement modelcited by 5
- 2023Deep Multi-Frame Filtering for Hearing Aidscited by 4
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Citing papers per year: 2026: 1.
1 paper.