4 citations · 8 across the 17 of their papers we have counts for
4 papers · 2 filters
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…
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…
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…
IIITH-BUT system for IWSLT 2025 low-resource Bhojpuri to Hindi speech translation
Bhavana Akkiraju, Aishwarya Pothula, Santosh Kesiraju +1
This paper presents the submission of IIITH-BUT to the IWSLT 2025 shared task on speech translation for the low-resource Bhojpuri-Hindi language pair. We explored the impact of hyp…