Search Results for author: Xionghu Zhong

Found 4 papers, 1 papers with code

Adapting OpenAI's Whisper for Speech Recognition on Code-Switch Mandarin-English SEAME and ASRU2019 Datasets

no code implementations29 Nov 2023 Yuhang Yang, Yizhou Peng, Xionghu Zhong, Hao Huang, Eng Siong Chng

The Mixed Error Rate results show that the amount of adaptation data may be as low as $1\sim10$ hours to achieve saturation in performance gain (SEAME) while the ASRU task continued to show performance with more adaptation data ($>$100 hours).

speech-recognition Speech Recognition

FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction

no code implementations18 Aug 2023 Rui Ding, Jielong Yang, Feng Ji, Xionghu Zhong, Linbo Xie

To address this challenge, we propose FR-GNN, a general framework for GNNs to conduct feature reconstruction.

Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation

1 code implementation22 Feb 2023 Yuchen Hu, Chen Chen, Heqing Zou, Xionghu Zhong, Eng Siong Chng

To alleviate this problem, we propose a novel network to unify speech enhancement and separation with gradient modulation to improve noise-robustness.

Multi-Task Learning Speech Enhancement +2

Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection

no code implementations28 Aug 2021 Minjie Cai, Minyi Luo, Xionghu Zhong, Hao Chen

We propose an uncertainty-aware model adaptation method, which is based on two motivations: 1) the estimation and exploitation of model uncertainty in a new domain is critical for reliable domain adaptation; and 2) the joint alignment of distributions for inputs (feature alignment) and outputs (self-training) is needed.

Domain Adaptation Object +2

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