1 citations · 1 across the 5 of their papers we have counts for
4 papers · 1 filter
LaDA-Band: Language Diffusion Models for Vocal-to-Accompaniment Generation
Qi Wang, Zhexu Shen, Meng Chen +4
Vocal-to-accompaniment (V2A) generation, which aims to transform a raw vocal recording into a fully arranged accompaniment, inherently requires jointly addressing an accompaniment…
TQCodec: Towards neural audio codec for high-fidelity music streaming
Lixing He, Zhouxuan Chen, Mingshuai Liu +6
We propose TQCodec, a neural audio codec designed for high-bitrate, high-fidelity music streaming. Unlike existing neural codecs that primarily target ultra-low bitrates (<= 16kbps…
MBTFNet: Multi-Band Temporal-Frequency Neural Network For Singing Voice Enhancement
Weiming Xu, Zhouxuan Chen, Zhili Tan +5
A typical neural speech enhancement (SE) approach mainly handles speech and noise mixtures, which is not optimal for singing voice enhancement scenarios. Music source separation (M…
KaraTuner: Towards end to end natural pitch correction for singing voice in karaoke
Xiaobin Zhuang, Huiran Yu, Weifeng Zhao +2
An automatic pitch correction system typically includes several stages, such as pitch extraction, deviation estimation, pitch shift processing, and cross-fade smoothing. However, d…