4 citations · 7 across the 6 of their papers we have counts for
5 papers
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…
An empirical study on speech restoration guided by self supervised speech representation
Jaeuk Byun, Youna Ji, Soo Whan Chung +2
Enhancing speech quality is an indispensable yet difficult task as it is often complicated by a range of degradation factors. In addition to additive noise, reverberation, clipping…
MoLE : Mixture of Language Experts for Multi-Lingual Automatic Speech Recognition
Yoohwan Kwon, Soo-Whan Chung
Multi-lingual speech recognition aims to distinguish linguistic expressions in different languages and integrate acoustic processing simultaneously. In contrast, current multi-ling…
Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech
Jiyoung Lee, Joon Son Chung, Soo-Whan Chung
The goal of this work is zero-shot text-to-speech synthesis, with speaking styles and voices learnt from facial characteristics. Inspired by the natural fact that people can imagin…
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…