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eess.AS2026
DuSpaR: Dual-State Sparsifying Recurrent Unit with Feedback Modulation for Compute-Efficient Speech Processing
Zixiao Li, Sheng Zhou, Longbiao Cheng +1
We introduce the Dual-state Sparsifying Recurrent Unit (DuSpaR) as a computationally efficient building block for speech processing models on resource-constrained edge devices. It…
cs.AI2026
When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition
Pehuén Moure, Niclas Pokel, Bilal Bounajma +4
Automatic speech recognition (ASR) systems remain brittle on dysarthric and other atypical speech. Recent audio-language models raise the possibility of improving performance by co…
eess.AS2026
Towards Lightweight Adaptation of Speech Enhancement Models in Real-World Environments
Longbiao Cheng, Shih-Chii Liu
Recent studies have shown that post-deployment adaptation can improve the robustness of speech enhancement models in unseen noise conditions. However, existing methods often incur…