7 citations · 7 across the 5 of their papers we have counts for
5 papers
Spoken Language Identification with Pre-trained Models and Margin Loss
Zhihua Fang, Liang He, Weiwu Jiang
For the speaker-controlled spoken language identification task proposed in the TidyLang Challenge 2026, this paper proposes a language identification method based on pre-trained mo…
Hyperbolic Additive Margin Softmax with Hierarchical Information for Speaker Verification
Zhihua Fang, Liang He
Speaker embedding learning based on Euclidean space has achieved significant progress, but it is still insufficient in modeling hierarchical information within speaker features. Hy…
XM-ALIGN: Unified Cross-Modal Embedding Alignment for Face-Voice Association
Zhihua Fang, Shumei Tao, Junxu Wang +1
This paper introduces our solution, XM-ALIGN (Unified Cross-Modal Embedding Alignment Framework), proposed for the FAME challenge at ICASSP 2026. Our framework combines explicit an…
Noise Supervised Contrastive Learning and Feature-Perturbed for Anomalous Sound Detection
Shun Huang, Zhihua Fang, Liang He
Unsupervised anomalous sound detection aims to detect unknown anomalous sounds by training a model using only normal audio data. Despite advancements in self-supervised methods, th…
Robust Training for Speaker Verification against Noisy Labels
Zhihua Fang, Liang He, Hanhan Ma +2
The deep learning models used for speaker verification rely heavily on large amounts of data and correct labeling. However, noisy (incorrect) labels often occur, which degrades the…