5 papers
Dual-LoRA: Parameter-Efficient Adversarial Disentanglement for Cross-Lingual Speaker Verification
Qituan Shangguan, Junhao Du, Kunyang Peng +5
Cross-lingual speaker verification suffers from severe language-speaker entanglement. This causes systematic degradation in the hardest scenario: correctly accepting utterances fro…
Spatially Aware Self-Supervised Models for Multi-Channel Neural Speaker Diarization
Jiangyu Han, Ruoyu Wang, Yoshiki Masuyama +4
Self-supervised models such as WavLM have demonstrated strong performance for neural speaker diarization. However, these models are typically pre-trained on single-channel recordin…
EGGCodec: A Robust Neural Encodec Framework for EGG Reconstruction and F0 Extraction
Rui Feng, Yuang Chen, Yu Hu +2
This letter introduces EGGCodec, a robust neural Encodec framework engineered for electroglottography (EGG) signal reconstruction and F0 extraction. We propose a multi-scale freque…
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention
Yuzhe Weng, Haotian Wang, Tian Gao +3
In multimodal sentiment analysis, collecting text data is often more challenging than video or audio due to higher annotation costs and inconsistent automatic speech recognition (A…
DCF-DS: Deep Cascade Fusion of Diarization and Separation for Speech Recognition under Realistic Single-Channel Conditions
Shu-Tong Niu, Jun Du, Ruo-Yu Wang +4
We propose a single-channel Deep Cascade Fusion of Diarization and Separation (DCF-DS) framework for back-end automatic speech recognition (ASR), combining neural speaker diarizati…