1 citations · 1 across the 7 of their papers we have counts for
7 papers
CSSinger: End-to-End Chunkwise Streaming Singing Voice Synthesis System Based on Conditional Variational Autoencoder
Jianwei Cui, Yu Gu, Shihao Chen +3
Singing Voice Synthesis (SVS) aims to generate singing voices of high fidelity and expressiveness. Conventional SVS systems usually utilize an acoustic model to transform a music s…
DurIAN-E 2: Duration Informed Attention Network with Adaptive Variational Autoencoder and Adversarial Learning for Expressive Text-to-Speech Synthesis
Yu Gu, Qiushi Zhu, Guangzhi Lei +2
This paper proposes an improved version of DurIAN-E (DurIAN-E 2), which is also a duration informed attention neural network for expressive and high-fidelity text-to-speech (TTS) s…
SiFiSinger: A High-Fidelity End-to-End Singing Voice Synthesizer based on Source-filter Model
Jianwei Cui, Yu Gu, Chao Weng +3
This paper presents an advanced end-to-end singing voice synthesis (SVS) system based on the source-filter mechanism that directly translates lyrical and melodic cues into expressi…
LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency Distillation
Shihao Chen, Yu Gu, Jianwei Cui +3
Any-to-any singing voice conversion (SVC) aims to transfer a target singer's timbre to other songs using a short voice sample. However many diffusion model based any-to-any SVC met…
LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance
Shihao Chen, Yu Gu, Jie Zhang +4
Any-to-any singing voice conversion (SVC) is an interesting audio editing technique, aiming to convert the singing voice of one singer into that of another, given only a few second…
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
Qiushi Zhu, Jie Zhang, Yu Gu +2
Self-supervised speech pre-training methods have developed rapidly in recent years, which show to be very effective for many near-field single-channel speech tasks. However, far-fi…
DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis
Yu Gu, Yianrao Bian, Guangzhi Lei +2
This paper introduces an improved duration informed attention neural network (DurIAN-E) for expressive and high-fidelity text-to-speech (TTS) synthesis. Inherited from the original…