Papers
Confidence Learning from Noisy Labels for Arabic Dialect Identification
International Conference
작성자
dsp
작성일
2021-06-28 12:44
조회
1220
which makes the ADI task very challenging. We propose a confidence learning network (CLN) that utilizes a multi-task learning strategy to handle confidence information by leveraging the verified and noisy label sets. The proposed CLN employs a confidence refinement module using a Gumbel softmax sampler that generates representations with more discriminative capabilities. Experimental results demonstrate that the proposed CLN model shows higher classification accuracy than conventional state of-the-art ADI systems.
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3 | International Journal | Zainab Alhakeem, Se-In Jang, Hong-Goo Kang "Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification" in Transactions on Audio, Speech, and Language Processing, 2024 | |
2 | International Conference | Zainab Alhakeem, Yoohwan Kwon, Hong-Goo Kang "Disentangled Representations for Arabic Dialect Identification based on Supervised Clustering with Triplet Loss" in EUSIPCO, 2021 | |
1 | International Conference | Zainab Alhakeem, Hong-Goo Kang "Confidence Learning from Noisy Labels for Arabic Dialect Identification" in ITC-CSCC, 2021 | |