4 papers
AdaptVC: High Quality Voice Conversion with Adaptive Learning
Jaehun Kim, Ji-Hoon Kim, Yeunju Choi +3
The goal of voice conversion is to transform the speech of a source speaker to sound like that of a reference speaker while preserving the original content. A key challenge is to e…
VoxSim: A perceptual voice similarity dataset
Junseok Ahn, Youkyum Kim, Yeunju Choi +4
This paper introduces VoxSim, a dataset of perceptual voice similarity ratings. Recent efforts to automate the assessment of speech synthesis technologies have primarily focused on…
FreGrad: Lightweight and Fast Frequency-aware Diffusion Vocoder
Tan Dat Nguyen, Ji-Hoon Kim, Youngjoon Jang +2
The goal of this paper is to generate realistic audio with a lightweight and fast diffusion-based vocoder, named FreGrad. Our framework consists of the following three key componen…
CrossSpeech: Speaker-independent Acoustic Representation for Cross-lingual Speech Synthesis
Ji-Hoon Kim, Hong-Sun Yang, Yoon-Cheol Ju +2
While recent text-to-speech (TTS) systems have made remarkable strides toward human-level quality, the performance of cross-lingual TTS lags behind that of intra-lingual TTS. This…