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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…
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…
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…