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From the 1 of 24 linked papers with an AI index.

collaborators

24 papers

eess.AS2026

Beyond Reconstruction: Full-Context Generative DiT for Music Generation

Yunjia Li, Menglin Wu, Junyu Dai +13

Hybrid music generators combine the long-range planning of an autoregressive language model with the fidelity of a diffusion- or flow-based acoustic renderer. Yet renderers are tra…

cs.CL2026

Spoken Function Calling: A New Perspective on Spoken Language Understanding for Large Audio Language Models

Yuezhang Peng, Yuxin Liu, Changfeng Gao +3

Spoken Language Understanding (SLU) is the core component of task-oriented dialogue systems and a pivotal link in achieving seamless human-agent interaction. While traditional SLU…

eess.AS2026

Qwen-Audio-3.0-Gen-Preview Technical Report

Junyu Dai, Xiaoyue Duan, Xinyue Fan +14

The paper introduces Qwen-Audio-3.0-Gen-Preview, a unified non‑autoregressive model that uses a diffusion transformer and a shared VAE to generate complete mixed‑waveform audio fro…

eess.AS2026

Qwen-Audio-3.0-TTS: Freely Controllable and Highly Robust Speech Synthesis with Multi-Stage Training Paradigm

Bajian Xiang, Cheng Wen, Han Zhao +12

In this report, we present Qwen-Audio-3.0-TTS, a production-oriented speech synthesis system that jointly advances content consistency, speaker similarity, prosodic naturalness, au…

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

Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering

Junyu Dai, Xinyue Fan, Weiqin Li +14

In this report, we present a unified song generation framework capable of producing high-quality full-length music from lyrics, text descriptions, and musical attributes. The propo…