mlsanityData to 7 Oct 2026

Speech Boosting: Low-Latency Live Speech Enhancement for TWS Earbuds

arXiv 2409.18705 ↗First posted 27 Sep 2024eess.AS cs.AI cs.SDcited by 1

Not on the map. Why?

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

  1. 2020wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representationscited by 3,853
  2. 2021Efficiently Modeling Long Sequences with Structured State Spacescited by 2,424
  3. 2018Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separationcited by 400
  4. 2022UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022cited by 381
  5. 2022Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruningcited by 317
  6. 2020Real Time Speech Enhancement in the Waveform Domaincited by 183
  7. 2022It's Raw! Audio Generation with State-Space Modelscited by 171
  8. 2022Hybrid Transformers for Music Source Separationcited by 134
  9. 2021Hybrid Spectrogram and Waveform Source Separationcited by 90
  10. 2022HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancementcited by 49
  11. 2022TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separationcited by 48
  12. 2020TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aidscited by 41
7 more
  1. 2022SPDY: Accurate Pruning with Speedup Guaranteescited by 34
  2. 2022STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latencycited by 14
  3. 2019End-to-End Multi-Task Denoising for joint SDR and PESQ Optimizationcited by 8
  4. 2022FFC-SE: Fast Fourier Convolution for Speech Enhancementcited by 7
  5. 2023Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challengecited by 7
  6. 2022Iterative autoregression: a novel trick to improve your low-latency speech enhancement modelcited by 5
  7. 2023Deep Multi-Frame Filtering for Hearing Aidscited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.