1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SD2023★ 1 cited
Vec-Tok Speech: speech vectorization and tokenization for neural speech generation
Xinfa Zhu, Yuanjun Lv, Yi Lei +5
Language models (LMs) have recently flourished in natural language processing and computer vision, generating high-fidelity texts or images in various tasks. In contrast, the curre…
cs.SD2023
SALT: Distinguishable Speaker Anonymization Through Latent Space Transformation
Yuanjun Lv, Jixun Yao, Peikun Chen +3
Speaker anonymization aims to conceal a speaker's identity without degrading speech quality and intelligibility. Most speaker anonymization systems disentangle the speaker represen…
cs.SD2023
HiGNN-TTS: Hierarchical Prosody Modeling with Graph Neural Networks for Expressive Long-form TTS
Dake Guo, Xinfa Zhu, Liumeng Xue +4
Recent advances in text-to-speech, particularly those based on Graph Neural Networks (GNNs), have significantly improved the expressiveness of short-form synthetic speech. However,…