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eess.AS2023★ 1 cited
HD-DEMUCS: General Speech Restoration with Heterogeneous Decoders
Doyeon Kim, Soo-Whan Chung, Hyewon Han +2
This paper introduces an end-to-end neural speech restoration model, HD-DEMUCS, demonstrating efficacy across multiple distortion environments. Unlike conventional approaches that…
eess.AS2022
Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting
Hyeon-Kyeong Shin, Hyewon Han, Doyeon Kim +2
In this paper, we propose a novel end-to-end user-defined keyword spotting method that utilizes linguistically corresponding patterns between speech and text sequences. Unlike prev…
eess.AS2020★ 1 cited
MIRNet: Learning multiple identities representations in overlapped speech
Hyewon Han, Soo-Whan Chung, Hong-Goo Kang
Many approaches can derive information about a single speaker's identity from the speech by learning to recognize consistent characteristics of acoustic parameters. However, it is…