1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.AS2024
InstructSing: High-Fidelity Singing Voice Generation via Instructing Yourself
Chang Zeng, Chunhui Wang, Xiaoxiao Miao +3
It is challenging to accelerate the training process while ensuring both high-quality generated voices and acceptable inference speed. In this paper, we propose a novel neural voco…
cs.SD2024★ 1 cited
HAM-TTS: Hierarchical Acoustic Modeling for Token-Based Zero-Shot Text-to-Speech with Model and Data Scaling
Chunhui Wang, Chang Zeng, Bowen Zhang +6
Token-based text-to-speech (TTS) models have emerged as a promising avenue for generating natural and realistic speech, yet they grapple with low pronunciation accuracy, speaking s…
cs.SD2023
CrossSinger: A Cross-Lingual Multi-Singer High-Fidelity Singing Voice Synthesizer Trained on Monolingual Singers
Xintong Wang, Chang Zeng, Jun Chen +1
It is challenging to build a multi-singer high-fidelity singing voice synthesis system with cross-lingual ability by only using monolingual singers in the training stage. In this p…