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Qinyuan Cheng

Fudan Universality

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#artificial intelligence Preprint Oct 2026

XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions

General turn-taking behavior in real-time dialogue systems requires deciding whether to keep listening or start responding while listening, and whether to continue or stop while speaking. Existing turn detectors use heterogeneous, task-specific label spaces and are often trained on limited annotations or evaluated on i...

Zhan-Xun Liu, Yi-Fan Duan, Heng-Tao Wu et al. · 0 citations
Preprint Sep 2026

Cross-Lingual F5-TTS 2: A Simplified Framework for Language-Agnostic Voice Cloning

Zero-shot text-to-speech (TTS) can clone a speaker's voice from a short audio prompt, yet most TTS systems still require the audio prompt transcript during inference. This dependency prevents cross-lingual voice cloning when the audio prompt transcript is unavailable, particularly for unseen languages. Cross-Lingual F5...

Qingyun Liu, Rixi Xu, Yu-Shen Chen et al. · 0 citations
Preprint Aug 2026

MOSS-VL Technical Report

We present MOSS-VL, an open vision-language model family that treats real-time interaction -- perceiving while it speaks -- as a first-class capability. It is co-designed across the stack: the language decoder attends to vision only through gated cross-attention, so the model can naturally see incoming frames while gen...

Pengyu Wang, Chenkun Tan, Shaojun Zhou et al. · 0 citations
Jul 2026

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation

OmniVAE is presented, a jointly trained audio-video VAE that learns fine-grained semantic alignment between audio and video latent representations that translates into higher generation quality and more accurate cross-modal synchronization in downstream text-to-audio-video generation.

Jun Zhan, Chenchen Yang, Yitian Gong et al. · 0 citations

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