Hang-Rui Hu — accepted AI-conference papers

2023

Stargan-vc Based Cross-Domain Data Augmentation for Speaker Verification

Hang-Rui Hu, Yan Song, Jian-Tao Zhang, Li-Rong Dai, Ian McLoughlin, Zhu Zhuo +3

ICASSP 2023accepted

Automatic speaker verification (ASV) faces domain shift caused by the mismatch of intrinsic and extrinsic factors, such as recording device and speaking style, in real-world applications, which leads to severe performance degradation. Since single-speaker multi-condition (SSMC) data is difficult to…

Cited by 0 Source ↗Scholar ↗

2022

Domain Robust Deep Embedding Learning for Speaker Recognition

Hang-Rui Hu, Yan Song, Ying Liu, Li-Rong Dai, Ian McLoughlin, Lin Liu

ICASSP 2022accepted

This paper presents a domain robust deep embedding learning method for speaker verification (SV) tasks. Most recent methods utilize deep neural networks (DNN) to learn compact and discriminative speaker embeddings from large-scale labeled datasets such as VoxCeleb and the NIST SRE corpus. Despite th…

Cited by 0 Source ↗Scholar ↗