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cs.SD2024
FGCL: Fine-grained Contrastive Learning For Mandarin Stuttering Event Detection
Han Jiang, Wenyu Wang, Yiquan Zhou +3
This paper presents the T031 team's approach to the StutteringSpeech Challenge in SLT2024. Mandarin Stuttering Event Detection (MSED) aims to detect instances of stuttering events…
cs.CL2024
Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning
Jingshen Zhang, Xinying Qiu, Teng Shen +3
Cross-lingual word alignment plays a crucial role in various natural language processing tasks, particularly for low-resource languages. Recent study proposes a BiLSTM-based encode…