5 papers
LiteCASS: A Lightweight End-to-End Network for Real-Time Stereo Cinematic Audio Source Separation
Yuanxin Guo, Qiang Ji, Mengmei Liu +3
Cinematic audio source separation (CASS) decomposes a soundtrack into dialogue, music, and sound-effects (SFX) stems. Existing CASS methods, however, suffer from two critical limit…
Graph Attention Design Choices Matter: A Controlled Study of LoRA-Adapted Audio Anti-Spoofing
Haoyu Wang, Jing Yang, Chenyu Liu +7
Audio anti-spoofing systems increasingly combine self-supervised learning, parameter-efficient fine-tuning, and graph-attention-based backends. However, performance gains in such s…
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…
MeanFlow-Accelerated Multimodal Video-to-Audio Synthesis via One-Step Generation
Xiaoran Yang, Jianxuan Yang, Xinyue Guo +3
A key challenge in synthesizing audios from silent videos is the inherent trade-off between synthesis quality and inference efficiency in existing methods. For instance, flow match…
TTMBA: Towards Text To Multiple Sources Binaural Audio Generation
Yuxuan He, Xiaoran Yang, Ningning Pan +1
Most existing text-to-audio (TTA) generation methods produce mono outputs, neglecting essential spatial information for immersive auditory experiences. To address this issue, we pr…