1 citations · 1 across the 4 of their papers we have counts for
5 papers
Mitigating Intra-Speaker Variability in Diarization with Style-Controllable Speech Augmentation
Miseul Kim, Soo Jin Park, Kyungguen Byun +4
Speaker diarization systems often struggle with high intrinsic intra-speaker variability, such as shifts in emotion, health, or content. This can cause segments from the same speak…
Voice-ENHANCE: Speech Restoration using a Diffusion-based Voice Conversion Framework
Kyungguen Byun, Jason Filos, Erik Visser +1
We propose a speech enhancement system that combines speaker-agnostic speech restoration with voice conversion (VC) to obtain a studio-level quality speech signal. While voice conv…
VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion
Kyungguen Byun, Jason Filos, Erik Visser +1
Noise suppression (NS) algorithms are effective in improving speech quality in many cases. However, aggressive noise suppression can damage the target speech, reducing both speech…
Highly Controllable Diffusion-based Any-to-Any Voice Conversion Model with Frame-level Prosody Feature
Kyungguen Byun, Sunkuk Moon, Erik Visser
We propose a highly controllable voice manipulation system that can perform any-to-any voice conversion (VC) and prosody modulation simultaneously. State-of-the-art VC systems can…
Stylebook: Content-Dependent Speaking Style Modeling for Any-to-Any Voice Conversion using Only Speech Data
Hyungseob Lim, Kyungguen Byun, Sunkuk Moon +1
While many recent any-to-any voice conversion models succeed in transferring some target speech's style information to the converted speech, they still lack the ability to faithful…