most citedImproving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning

18 citations · 18 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SD2024

CoopASD: Cooperative Machine Anomalous Sound Detection with Privacy Concerns

Anbai Jiang, Yuchen Shi, Pingyi Fan +2

Machine anomalous sound detection (ASD) has emerged as one of the most promising applications in the Industrial Internet of Things (IIoT) due to its unprecedented efficacy in mitig…

math.AP2024

Normalized solution for -Laplacian equation in exterior domain

Weiqiang Zhang, Yanyun Wen

We are devoted to the study of the following nonlinear -Laplacian Schrödinger equation with -norm constraint \begin{align*} \begin{cases} &-Δ_{p} u=λ|u|^{p-2}u +|u|^{r-2}…

cs.SD2024

AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection

Anbai Jiang, Bing Han, Zhiqiang Lv +6

Large pre-trained models have demonstrated dominant performances in multiple areas, where the consistency between pre-training and fine-tuning is the key to success. However, few w…

cs.CL2024

MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing

Nianwen Si, Hao Zhang, Weiqiang Zhang

Large language models are known for encoding a vast amount of factual knowledge, but they often becomes outdated due to the ever-changing nature of external information. A promisin…

cs.CL2023

DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model

Haoyu Wang, Siyuan Wang, Wei-Qiang Zhang +1

Multilingual self-supervised speech representation models have greatly enhanced the speech recognition performance for low-resource languages, and the compression of these huge mod…

cs.CL202318 cited

Improving Speech Translation by Cross-Modal Multi-Grained Contrastive Learning

Hao Zhang, Nianwen Si, Yaqi Chen +4

The end-to-end speech translation (E2E-ST) model has gradually become a mainstream paradigm due to its low latency and less error propagation. However, it is non-trivial to train s…