1 citations · 2 across the 9 of their papers we have counts for
5 papers · 1 filter
HARP: Harmonic-Aware Residual Partitioning for Neural Audio Codecs
Qiaoyu Yang, Lixing He, Binyue Deng +1
Neural audio codecs with residual vector quantization (RVQ) normally treat all frequencies uniformly, so their codebooks become spectrally entangled. Truncating stages then removes…
Poly-SVC: Polyphony-Aware Singing Voice Conversion with Harmonic Modeling
Chen Geng, Meng Chen, Ruohua Zhou +2
Singing Voice Conversion (SVC) aims to transform a source singing voice into a target singer while preserving lyrics and melody. Most existing SVC methods depend on F0 extractors t…
VITA-QinYu: Expressive Spoken Language Model for Role-Playing and Singing
Jiacheng Xu, Heting Gao, Liufei Xie +8
Human speech conveys expressiveness beyond linguistic content, including personality, mood, or performance elements, such as a comforting tone or humming a song, which we formalize…
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…