Youngsub Han — accepted AI-conference papers

2024

SARCAT: Generative Span-Act Guided Response Generation using Copy-enhanced Target Augmentation

Jeong-Doo Lee, Hyeongjun Choi, Beomseok Hong, Youngsub Han, Byoung-Ki Jeon, Seung-Hoon Na

EMNLP 2024finding

In this paper, we present a novel extension to improve the document grounded response generation, by proposing the Generative Span Act Guided Response Generation using Copy enhanced Target Augmentation (SARCAT) that consists of two major components as follows: 1) Copy-enhanced target-side input augm…

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2023

CyFi-TTS: Cyclic Normalizing Flow with Fine-Grained Representation for End-to-End Text-to-Speech

In-Sun Hwang, Youngsub Han, Byoung-Ki Jeon

ICASSP 2023accepted

Advanced end-to-end text-to-speech (TTS) systems directly generate high-quality speech. These systems demonstrate superior performance on the seen dataset from training. However, inferring speech using unseen transcripts is challenging. Usually, the generated speech tends to be mispronounced because…

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