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ML-SAN: Multi-Level Speaker-Adaptive Network for Emotion Recognition in Conversations
Kexue Wang, Yinfeng Yu, Liejun Wang
To establish empathy with machines, it is essential to fully understand human emotional changes. However, research in multimodal emotion recognition often overlooks one problem: in…
Semantic-Emotional Resonance Embedding: A Semi-Supervised Paradigm for Cross-Lingual Speech Emotion Recognition
Ya Zhao, Yinfeng Yu, Liejun Wang
Cross-lingual Speech Emotion Recognition (CLSER) aims to identify emotional states in unseen languages. However, existing methods heavily rely on the semantic synchrony of complete…
Audio-Guided Visual Perception for Audio-Visual Navigation
Yi Wang, Yinfeng Yu, Fuchun Sun +2
Audio-Visual Embodied Navigation aims to enable agents to autonomously navigate to sound sources in unknown 3D environments using auditory cues. While current AVN methods excel on…
ECTSpeech: Enhancing Efficient Speech Synthesis via Easy Consistency Tuning
Tao Zhu, Yinfeng Yu, Liejun Wang +2
Diffusion models have demonstrated remarkable performance in speech synthesis, but typically require multi-step sampling, resulting in low inference efficiency. Recent studies addr…
EGSTalker: Real-Time Audio-Driven Talking Head Generation with Efficient Gaussian Deformation
Tianheng Zhu, Yinfeng Yu, Liejun Wang +2
This paper presents EGSTalker, a real-time audio-driven talking head generation framework based on 3D Gaussian Splatting (3DGS). Designed to enhance both speed and visual fidelity,…
PGSTalker: Real-Time Audio-Driven Talking Head Generation via 3D Gaussian Splatting with Pixel-Aware Density Control
Tianheng Zhu, Yinfeng Yu, Liejun Wang +2
Audio-driven talking head generation is crucial for applications in virtual reality, digital avatars, and film production. While NeRF-based methods enable high-fidelity reconstruct…
AMNet: An Acoustic Model Network for Enhanced Mandarin Speech Synthesis
Yubing Cao, Yinfeng Yu, Yongming Li +1
This paper presents AMNet, an Acoustic Model Network designed to improve the performance of Mandarin speech synthesis by incorporating phrase structure annotation and local convolu…
Leveraging Label Potential for Enhanced Multimodal Emotion Recognition
Xuechun Shao, Yinfeng Yu, Liejun Wang
Multimodal emotion recognition (MER) seeks to integrate various modalities to predict emotional states accurately. However, most current research focuses solely on the fusion of au…
Magnitude-Phase Dual-Path Speech Enhancement Network based on Self-Supervised Embedding and Perceptual Contrast Stretch Boosting
Alimjan Mattursun, Liejun Wang, Yinfeng Yu +1
Speech self-supervised learning (SSL) has made great progress in various speech processing tasks, but there is still room for improvement in speech enhancement (SE). This paper pre…