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20242026
most citedTowards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey

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cs.SD2026

SEmoEdit: Probing and Harnessing the Editability of Pre-trained Speech Flows

Tianxin Xie, Pengfei Zhang, Kai Jiang +2

Existing training-based speech emotion editing methods often require substantial task-specific training and can be unstable. This motivates us to investigate whether the pretrained…

q-bio.NC2026

The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language models

Pengfei Zhang, Biao Tian, Xiangang Li +1

Multimodal large language models predict brain activity, but brain alignment has been a measurement, not a design tool. We propose the Platonic brain bridge hypothesis: omni models…

cs.CV2026

Do Video Generators Track the World Across Segments? A Benchmark and Method for World-State Reasoning in Video Continuation

Yingmao Miao, Pengfei Zhang, Chaoran Xu +5

Video generators build long videos by composing shorter parts, either by generating segments one after another or by autoregressively extending chunks. Each new part usually depend…

cs.CV2026

DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation

DreamX Team, Rui Chen, Xiangxiang Chu +7

We present \textbf{DreamX-Phi 1.0}, an action-conditioned video world model for robotic manipulation that, given an observed frame, a language instruction, and a prescribed action…

cs.CV2026

Evaluation-Verification Reward for Consistent Multi-Reference Image Editing

Yingmao Miao, Pengfei Zhang, Xiaochen Lv +5

While recent image editing models have made rapid progress, multi-reference editing remains challenging, particularly in maintaining visual consistency across references and ensuri…

cs.SD2026

Listen, Do Not Copy: Internalizing Audio-Grounded Scaffold Context for Robust Omni-Model Speech Understanding

Pengfei Zhang, Biao Tian, Tianxin Xie +3

Omni models transcribe clean, single-speaker speech well, but their accuracy drops sharply when speakers overlap and the scene is noisy, exactly where knowing who said what matters…

cs.SD2026

From Sounds to Scenes: A Benchmark for Evaluating Context-Aware Auditory Scene Understanding in Large Audio Language Models

Pengfei Zhang, Hoang H Nguyen, Kazi Shaharair Sharif +6

Recent Large Audio Language Models (LALMs) have achieved remarkable progress in audio perceptual tasks across individual acoustic layers, including speech, sound, and music. Howeve…

cs.CV2026

DreamX-World 1.0: A General-Purpose Interactive World Model

DreamX Team, Yancheng Bai, Rui Chen +20

DreamX-World 1.0 is a general-purpose interactive text/image-to-video world model for controllable long-horizon generation. It supports camera navigation, revisits to previously ob…

cs.SD2026

AP-GRPO: Anchor-Gated Phonetic Alignment with Policy Optimization for Pathological Speech Reconstruction

Pengfei Zhang, Hoang H Nguyen, Yutong Song +6

Pathological speech from patients with neurodegenerative and neuromotor disorders is often acoustically distorted and linguistically fragmented, making pathological speech reconstr…

cs.CV2026

RISE: Reliable Improvement in Self-Evolving Vision-Language Models

Chaoran Xu, Yingmao Miao, Pengfei Zhang +3

Vision-language models (VLMs) have achieved strong multimodal reasoning capabilities, but further improving them still relies heavily on large-scale human-constructed supervision f…

cs.SD2026

AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching

Pengfei Zhang, Tianxin Xie, Minghao Yang +1

REPresentation Alignment (REPA) improves the training of generative flow models by aligning intermediate hidden states with pretrained teacher features, but its effectiveness in to…

eess.AS2026

Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis

Pengfei Zhang, Tianxin Xie, Minghao Yang +1

Deep learning-based respiratory auscultation is currently hindered by two fundamental challenges: (i) inherent information loss, as converting signals into spectrograms discards tr…