27 citations · 33 across the 15 of their papers we have counts for
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Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation
Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee
Although voice conversion (VC) systems have shown a remarkable ability to transfer voice style, existing methods still have an inaccurate pitch and low speaker adaptation quality.…
PauseSpeech: Natural Speech Synthesis via Pre-trained Language Model and Pause-based Prosody Modeling
Ji-Sang Hwang, Sang-Hoon Lee, Seong-Whan Lee
Although text-to-speech (TTS) systems have significantly improved, most TTS systems still have limitations in synthesizing speech with appropriate phrasing. For natural speech synt…
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models
Ji-Sang Hwang, Sang-Hoon Lee, Seong-Whan Lee
Recently, denoising diffusion models have demonstrated remarkable performance among generative models in various domains. However, in the speech domain, the application of diffusio…
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion
Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee
Diffusion-based generative models have exhibited powerful generative performance in recent years. However, as many attributes exist in the data distribution and owing to several li…
GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints
Ji-Hoon Kim, Sang-Hoon Lee, Ji-Hyun Lee +2
Few-shot speaker adaptation is a specific Text-to-Speech (TTS) system that aims to reproduce a novel speaker's voice with a few training data. While numerous attempts have been mad…