4 papers
Investigating training objective for flow matching-based speech enhancement
Liusha Yang, Ziru Ge, Gui Zhang +2
Speech enhancement(SE) aims to recover clean speech from noisy recordings. Although generative approaches such as score matching and Schrodinger bridge have shown strong effectiven…
SingVERSE: A Diverse, Real-World Benchmark for Singing Voice Enhancement
Shaohan Jiang, Junan Zhang, Yunjia Zhang +3
This paper presents a benchmark for singing voice enhancement. The development of singing voice enhancement is limited by the lack of realistic evaluation data. To address this gap…
AnyAccomp: Generalizable Accompaniment Generation via Quantized Melodic Bottleneck
Junan Zhang, Yunjia Zhang, Xueyao Zhang +1
Singing Accompaniment Generation (SAG) is the process of generating instrumental music for a given clean vocal input. However, existing SAG techniques use source-separated vocals a…
The CCF AATC 2025 Speech Restoration Challenge: A Retrospective
Junan Zhang, Mengyao Zhu, Xin Xu +3
Real-world speech communication is rarely affected by a single type of degradation. Instead, it suffers from a complex interplay of acoustic interference, codec compression, and, i…