output
20172026
most citedSpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing

90 citations

12 papers

cs.SD2026

End-to-End Simultaneous Dysarthric Speech Reconstruction with Frame-Level Adaptor and Multiple Wait-k Knowledge Distillation

Minghui Wu, Haitao Tang, Jiahuan Fan +2

Dysarthric speech reconstruction (DSR) typically employs a cascaded system that combines automatic speech recognition (ASR) and sentence-level text-to-speech (TTS) to convert dysar…

cs.SD2026

DARS: Dysarthria-Aware Rhythm-Style Synthesis for ASR Enhancement

Minghui Wu, Xueling Liu, Jiahuan Fan +3

Dysarthric speech exhibits abnormal prosody and significant speaker variability, presenting persistent challenges for automatic speech recognition (ASR). While text-to-speech (TTS)…

cs.CL2025★ 4 cited

Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams

Yiming Cui, Xin Yao, Yuxuan Qin +3

Multimodal scientific reasoning remains a significant challenge for large language models (LLMs), particularly in chemistry, where problem-solving relies on symbolic diagrams, mole…

cs.CV2025★ 1 cited

Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution

Hsuan Yuan, Shao-Yu Weng, I-Hsuan Lo +5

Previous methods have demonstrated remarkable performance in single image super-resolution (SISR) tasks with known and fixed degradation (e.g., bicubic downsampling). However, when…

eess.SP2025★ 3 cited

Sensing-Assisted Channel Estimation for Bistatic OFDM ISAC Systems: Framework, Algorithm, and Analysis

Shuhan Wang, Aimin Tang, Xudong Wang +1

Integrated sensing and communication (ISAC) has garnered significant attention in recent years. In this paper, we delve into the topic of sensing-assisted communication within ISAC…

eess.IV2025★ 2 cited

Boosting Diffusion Guidance via Learning Degradation-Aware Models for Blind Super Resolution

Shao-Hao Lu, Ren Wang, Ching-Chun Huang +1

Recently, diffusion-based blind super-resolution (SR) methods have shown great ability to generate high-resolution images with abundant high-frequency detail, but the detail is oft…