3 papers
cs.CL2025
Efficient ASR for Low-Resource Languages: Leveraging Cross-Lingual Unlabeled Data
Srihari Bandarupalli, Bhavana Akkiraju, Charan Devarakonda +2
Automatic speech recognition for low-resource languages remains fundamentally constrained by the scarcity of labeled data and computational resources required by state-of-the-art m…
cs.CL2025
TeluguST-46: A Benchmark Corpus and Comprehensive Evaluation for Telugu-English Speech Translation
Bhavana Akkiraju, Srihari Bandarupalli, Swathi Sambangi +3
Despite Telugu being spoken by over 80 million people, speech translation research for this morphologically rich language remains severely underexplored. We address this gap by dev…
cs.CL2025
End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data
Aishwarya Pothula, Bhavana Akkiraju, Srihari Bandarupalli +3
The scarcity of high-quality annotated data presents a significant challenge in developing effective end-to-end speech-to-text translation (ST) systems, particularly for low-resour…