22 citations · 61 across the 25 of their papers we have counts for
7 papers · 1 filter
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…
Lightweight Audio Segmentation for Long-form Speech Translation
Jaesong Lee, Soyoon Kim, Hanbyul Kim +1
Speech segmentation is an essential part of speech translation (ST) systems in real-world scenarios. Since most ST models are designed to process speech segments, long-form audio m…
FlowAVSE: Efficient Audio-Visual Speech Enhancement with Conditional Flow Matching
Chaeyoung Jung, Suyeon Lee, Ji-Hoon Kim +1
This work proposes an efficient method to enhance the quality of corrupted speech signals by leveraging both acoustic and visual cues. While existing diffusion-based approaches hav…
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…
Seeing Through the Conversation: Audio-Visual Speech Separation based on Diffusion Model
Suyeon Lee, Chaeyoung Jung, Youngjoon Jang +2
The objective of this work is to extract target speaker's voice from a mixture of voices using visual cues. Existing works on audio-visual speech separation have demonstrated their…
Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification
Hee-Soo Heo, KiHyun Nam, Bong-Jin Lee +4
In the field of speaker verification, session or channel variability poses a significant challenge. While many contemporary methods aim to disentangle session information from spea…