arXiv:2506. 01982v5 Announce Type: replace-cross Abstract: This study investigates emotional expression and perception in music performance using computational and neurophysiological methods.
By Vassilis Lyberatos, Spyridon Kantarelis, Ioanna Zioga, Christina Anagnostopoulou, Giorgos Stamou, Anastasia Georgaki
Music visualization offers a powerful way to enhance listeners' understanding and experience of music by translating auditory signals into visual forms. However, most existing approaches either rely heavily on lyrics or generate flat, non-immersive videos similar to conventional music videos, which limits their ability to convey the emotional dynamics of music and provide an immersive listening experience.
Audio-driven talking head synthesis has achieved impressive progress in lip synchronization and visual quality, yet generating expressive emotional avatars with controllable intensity remains challenging, especially under real-time constraints. In this paper, we present GaussianEmoTalker, an audio-driven framework for real-time emotional talking head synthesis based on 3D Gaussian Splatting.
Passing is an interactive audiovisual installation that transforms a single continuous monorail-window recording into an endless journey by reconstructing it as a spatiotemporal volume and resampling its spatial and temporal structure along nonlinear trajectories. A camera-based viewer‑presence detection system influences transitions among rendered video sequences, and the resulting video stream is fed into SpecMaskFoley, a real‑time video‑to‑audio synthesis model that generates a synchronized soundscape. The work distributes creative agency among the artist, the AI model, and the audience, exploring how authorship and listening can be negotiated among human intention, machine inference, and audience interpretation.
By Akira Takahashi, Chihiro Nagashima, Zhi Zhong, Shusuke Takahashi, Yuki Mitsufuji
EmoTra‑TTS introduces a method for smooth intra‑utterance emotion transitions in speech synthesis. It uses a multi‑pass flow blending pipeline, dual‑stage VAD conditioning, and direction‑magnitude decoupled injection to generate frame‑aligned emotional prosody. The system adds only 0.43% more parameters, incurs no latency, and outperforms four state‑of‑the‑art baselines and two commercial systems in emotion transition quality and overall preference tests.
By Tianchi Liu, Zeyang Song, Tianrui Wang, Zhipeng Li, Chenglin Xu, Yiwen Guo
arXiv:2608. 08349v1 Announce Type: cross Abstract: Audio dramas weave dialogue, sound effects, and music into immersive stories.
By Karim Benharrak, Oriol Nieto, Bryan Wang, Zeyu Jin, Amy Pavel
arXiv:2607. 11364v1 Announce Type: cross Abstract: Generating immersive, synchronized and cinematic audio for long-form textual narratives remains a significant challenge in multi-modal AI.
By Ajitesh Jamulkar, Aritra Hazra
arXiv:2606. 00670v1 Announce Type: cross Abstract: Face-to-face speech comprehension is inherently multimodal, integrating acoustic signals with visible articulation, facial expression, head motion, and other socially relevant cues.
By Zhou Yang, Yueyi Yang
arXiv:2608. 15110v1 Announce Type: cross Abstract: Emotional 3D talking head generation aims to synthesize expressive facial animations with accurate lip synchronization.
By Peng Jia, Li Dai, Zhen Xiao, Xueliang Liu, Jia Li
Emotional 3D talking head generation aims to synthesize expressive facial animations with accurate lip synchronization. However, existing methods often rely on discrete emotion categories, which fail...
arXiv:2608.30068v1 Announce Type: new
Abstract: Films communicate through deliberate creative choices, including lighting, color, composition, editing, dialogue, music, and sound. Humans naturally in...
By Kaishuu Shinozaki-Conefrey, Olivier Pascaud, Robin Courant, Xi Wang, Dimitris Samaras, Vicky Kalogeiton
arXiv:2605. 07061v2 Announce Type: replace-cross Abstract: Joint audio-video generation models are rapidly approaching professional production quality, raising a central question: do they understand audio-visual physics, or merely generate plausible sounds and frames that violate real-world consistency?
By Zijun Cui, Xiulong Liu, Hao Fang, Mingwei Xu, Jiageng Liu, Zexin Xu, Weiguo Pian, Shijian Deng, Feiyu Du, Chenming Ge, Yapeng Tian