4 citations · 8 across the 17 of their papers we have counts for
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VākQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering
Bhavana Akkiraju, Ravi Sastry Kolluru, Sri Charan D +3
Question answering has advanced rapidly with large language models, but predominantly for high-resource languages, in both text and spoken settings. Spoken question answering (SQA)…
Enhancing ASR Performance in the Medical Domain for Dravidian Languages
Sri Charan Devarakonda, Ravi Sastry Kolluru, Manjula Sri Rayudu +3
Automatic Speech Recognition (ASR) for low-resource Dravidian languages like Telugu and Kannada faces significant challenges in specialized medical domains due to limited annotated…
Using Deep Learning to Generate Semantically Correct Hindi Captions
Wasim Akram Khan, Anil Kumar Vuppala
Automated image captioning using the content from the image is very appealing when done by harnessing the capability of computer vision and natural language processing. Extensive r…