Multimodal Seed Data Augmentation for Low-Resource Audio Latin Cuengh Language
Lanlan Jiang,
Xingguo Qin,
Jingwei Zhang
et al.
Abstract:Latin Cuengh is a low-resource dialect that is prevalent in select ethnic minority regions in China. This language presents unique challenges for intelligent research and preservation efforts, primarily due to its oral tradition and the limited availability of textual resources. Prior research has sought to bolster intelligent processing capabilities with regard to Latin Cuengh through data augmentation techniques leveraging scarce textual data, with modest success. In this study, we introduce an innovative mu… Show more
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