4 papers
MiDashengLM-Gen: Unified Audio Scene Generation via LLM-Driven Autoregressive Flow Matching
Xingwei Sun, Heinrich Dinkel, Gang Li +7
Generating coherent audio scenes that simultaneously blend speech, music, and sound effects remains a significant challenge. Current approaches typically rely on a disjointed pipel…
DTT-BSR: GAN-based DTTNet with RoPE Transformer Enhancement for Music Source Restoration
Shihong Tan, Haoyu Wang, Youran Ni +8
Music source restoration (MSR) aims to recover unprocessed stems from mixed and mastered recordings. The challenge lies in both separating overlapping sources and reconstructing si…
DiffRhythm 2: Efficient and High Fidelity Song Generation via Block Flow Matching
Yuepeng Jiang, Huakang Chen, Ziqian Ning +7
Generating full-length, high-quality songs is challenging, as it requires maintaining long-term coherence both across text and music modalities and within the music modality itself…
ACMID: Automatic Curation of Musical Instrument Dataset for 7-Stem Music Source Separation
Ji Yu, Yang shuo, Xu Yuetonghui +3
Most current music source separation (MSS) methods rely on supervised learning, limited by training data quantity and quality. Though web-crawling can bring abundant data, platform…