27 citations · 61 across the 5 of their papers we have counts for
5 papers
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis
Jun-Hyeok Cha, Seung-Bin Kim, Hyung-Seok Oh +1
Recently, there has been a growing demand for conversational speech synthesis (CSS) that generates more natural speech by considering the conversational context. To address this, w…
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector
Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +1
Emotional text-to-speech (TTS) technology has achieved significant progress in recent years; however, challenges remain owing to the inherent complexity of emotions and limitations…
EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech
Deok-Hyeon Cho, Hyung-Seok Oh, Seung-Bin Kim +2
Despite rapid advances in the field of emotional text-to-speech (TTS), recent studies primarily focus on mimicking the average style of a particular emotion. As a result, the abili…
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training
Hyung-Seok Oh, Sang-Hoon Lee, Seong-Whan Lee
Expressive text-to-speech systems have undergone significant advancements owing to prosody modeling, but conventional methods can still be improved. Traditional approaches have rel…
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer
Sang-Hoon Lee, Ha-Yeong Choi, Hyung-Seok Oh +1
Despite rapid progress in the voice style transfer (VST) field, recent zero-shot VST systems still lack the ability to transfer the voice style of a novel speaker. In this paper, w…