6 citations · 11 across the 22 of their papers we have counts for
4 papers · 1 filter
VoiceDiT: Dual-Condition Diffusion Transformer for Environment-Aware Speech Synthesis
Jaemin Jung, Junseok Ahn, Chaeyoung Jung +3
We present VoiceDiT, a multi-modal generative model for producing environment-aware speech and audio from text and visual prompts. While aligning speech with text is crucial for in…
Let Me Finish My Sentence: Video Temporal Grounding with Holistic Text Understanding
Jongbhin Woo, Hyeonggon Ryu, Youngjoon Jang +2
Video Temporal Grounding (VTG) aims to identify visual frames in a video clip that match text queries. Recent studies in VTG employ cross-attention to correlate visual frames and t…
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text
Youngjoon Jang, Ji-Hoon Kim, Junseok Ahn +6
The goal of this work is to simultaneously generate natural talking faces and speech outputs from text. We achieve this by integrating Talking Face Generation (TFG) and Text-to-Spe…
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…