Task-Lens: 基于跨任务效用的低资源印度语言语音数据集分析

The increasing demand for inclusive speech technologies highlights the importance of multilingual datasets in Natural Language Processing (NLP) research. However, limited awareness of existing task-specific resources in low-resource languages hampers progress in this area. This challenge is particularly pronounced in linguistically diverse countries like India. Cross-task profiling of existing Indian speech datasets can help alleviate the data scarcity issue. This approach focuses on investigating the utility of datasets across multiple downstream tasks rather than being confined to a single task. Previous surveys have typically cataloged datasets for individual tasks, leaving comprehensive cross-task profiling as an underexplored opportunity. Therefore, Task-Lens is proposed as a cross-task survey framework aimed at addressing this gap.