most citedAdversarial speech for voice privacy protection from Personalized Speech generation

13 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2024

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…

eess.AS2024

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…

eess.AS2024

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…

eess.AS2024

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…

eess.AS2024★ 13 cited

Adversarial speech for voice privacy protection from Personalized Speech generation

Shihao Chen, Liping Chen, Jie Zhang +3

The rapid progress in personalized speech generation technology, including personalized text-to-speech (TTS) and voice conversion (VC), poses a challenge in distinguishing between…

eess.AS2024

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…