collaborators

13 papers

eess.AS2026

ProsoCodec: Prosody-Oriented Speech Codec for Voice Conversion

Jeongsoo Choi, Ji-Hoon Kim, Shujie Hu +1

Neural speech codecs efficiently compress speech and have become a foundation for speech generation, but they are typically learned as holistic representations that intertwine ling…

eess.AS2026

Semantic-VAE: Semantic-Alignment Latent Representation for Better Speech Synthesis

Zhikang Niu, Shujie Hu, Jeongsoo Choi +8

Mel-spectrograms have been widely used in zero-shot text-to-speech (TTS); their inherent redundancy leads to inefficiency in text-speech alignment. Compact VAE-based latent represe…

eess.AS2026

LRS-VoxMM: A benchmark for in-the-wild audio-visual speech recognition

Doyeop Kwak, Jeongsoo Choi, Suyeon Lee +1

We introduce LRS-VoxMM, an in-the-wild benchmark for audio-visual speech recognition (AVSR). The benchmark is derived from VoxMM, a dataset of diverse real-world spoken conversatio…

cs.CV2026

DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization

Ngoc-Son Nguyen, Thanh V. T. Tran, Jeongsoo Choi +3

Video dubbing requires content accuracy, expressive prosody, high-quality acoustics, and precise lip synchronization, yet existing approaches struggle on all four fronts. To addres…

cs.CL2025

Dub-S2ST: Textless Speech-to-Speech Translation for Seamless Dubbing

Jeongsoo Choi, Jaehun Kim, Joon Son Chung

This paper introduces a cross-lingual dubbing system that translates speech from one language to another while preserving key characteristics such as duration, speaker identity, an…

cs.CV2025

AlignDiT: Multimodal Aligned Diffusion Transformer for Synchronized Speech Generation

Jeongsoo Choi, Ji-Hoon Kim, Kim Sung-Bin +2

In this paper, we address the task of multimodal-to-speech generation, which aims to synthesize high-quality speech from multiple input modalities: text, video, and reference audio…