1 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
Towards Inclusive Communication: A Unified Framework for Generating Spoken Language from Sign, Lip, and Audio
Jeong Hun Yeo, Hyeongseop Rha, Sungjune Park +2
Audio is the primary modality for human communication and has driven the success of Automatic Speech Recognition (ASR) technologies. However, such audio-centric systems inherently…
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech Tokens
Jeong Hun Yeo, Hyeongseop Rha, Se Jin Park +1
Audio-Visual Speech Recognition (AVSR) achieves robust speech recognition in noisy environments by combining auditory and visual information. However, recent Large Language Model (…
AV-EmoDialog: Chat with Audio-Visual Users Leveraging Emotional Cues
Se Jin Park, Yeonju Kim, Hyeongseop Rha +2
In human communication, both verbal and non-verbal cues play a crucial role in conveying emotions, intentions, and meaning beyond words alone. These non-linguistic information, suc…
Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language
Jeong Hun Yeo, Chae Won Kim, Hyunjun Kim +4
Lip reading aims to predict spoken language by analyzing lip movements. Despite advancements in lip reading technologies, performance degrades when models are applied to unseen spe…
Let's Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation
Se Jin Park, Chae Won Kim, Hyeongseop Rha +4
In this paper, we introduce a novel Face-to-Face spoken dialogue model. It processes audio-visual speech from user input and generates audio-visual speech as the response, marking…