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cs.CL2026
Enhancing speech representation learning with cross-modal knowledge transfer with HGNN under low resource settings: the case study of Yemba
Yannick Yomie Nzeuhang, Paulin Melatagia Yonta, Marie Tahon
Acoustic representation learning is crucial for speech processing, yet low-resource languages (LRLs) face severe data scarcity, limiting the effectiveness of traditional and self-s…
cs.CL2026
Low resource cross-modal alignment using HGNN to enhance speech representation
Yannick Yomie Nzeuhang, Marie Tahon, Paulin Melatagia Yonta
Speech-text space alignment is a multimodal representation learning method consisting to map different speech and text into a shared representation space, leading to enrichment of…