collaborators

5 papers

cs.SD2026

Fourier is Frontier: Frequency-Aware Autoencoding for High-Fidelity Music Reconstruction

Kangdi Wang, Yusheng Dai, Jin Xu

Continuous-latent audio autoencoders form the backbone of latent music generators, yet decoders at high compression rates commonly exhibit three failure modes: high-frequency loss,…

eess.AS2026

CineDub: Scaling End-to-End Video Dubbing to Multi-Speaker Dialogues with Coherent Sound Effects

Yusheng Dai, Kangdi Wang, Baolong Gao +4

Automatic video dubbing in the wild remains fundamentally limited by two competing constraints: hierarchical methods depend on brittle, multi-stage preprocessing pipelines that sev…

cs.SD2026

Qwen-Music Technical Report

Jin Xu, Kangdi Wang, Ruibin Yuan +24

We introduce Qwen-Music, a music generation model that produces high-fidelity songs with complete vocals. It supports text-to-music generation from descriptions, lyrics, and musica…

cs.SD2025

DuoTok: Source-Aware Dual-Track Music Tokenization for Vocal-Accompaniment Generation

Rui Lin, Zhiyue Wu, Jiahe Le +5

Multi-track music generation requires tokens that preserve acoustic fidelity, support sequence modeling, and maintain cross-track structure. Reconstruction-oriented codecs retain a…

cs.SD2025

Back to Ear: Perceptually Driven High Fidelity Music Reconstruction

Kangdi Wang, Zhiyue Wu, Dinghao Zhou +3

Variational Autoencoders (VAEs) are essential for large-scale audio tasks like diffusion-based generation. However, existing open-source models often neglect auditory perceptual as…