most citedAll Information is Necessary: Integrating Speech Positive and Negative Information by Contrastive Learning for Speech Enhancement

4 citations · 4 across the 3 of their papers we have counts for

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eess.AS2024

Improving Robustness of Diffusion-Based Zero-Shot Speech Synthesis via Stable Formant Generation

Changjin Han, Seokgi Lee, Gyuhyeon Nam +1

Diffusion models have achieved remarkable success in text-to-speech (TTS), even in zero-shot scenarios. Recent efforts aim to address the trade-off between inference speed and soun…

eess.AS2023

Exploring the Interactions between Target Positive and Negative Information for Acoustic Echo Cancellation

Chang Han, Xinmeng Xu, Weiping Tu +2

Acoustic echo cancellation (AEC) aims to remove interference signals while leaving near-end speech least distorted. As the indistinguishable patterns between near-end speech and in…

eess.AS2023★ 4 cited

All Information is Necessary: Integrating Speech Positive and Negative Information by Contrastive Learning for Speech Enhancement

Xinmeng Xu, Weiping Tu, Chang Han +1

Monaural speech enhancement (SE) is an ill-posed problem due to the irreversible degradation process. Recent methods to achieve SE tasks rely solely on positive information, e.g.,…