Bhavana Akkiraju

Hybrid MFCC–HHT modeling for dysarthria and severity-level classification

V\={a}kQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering

V\={a}kQA, a Telugu SQA benchmark of 2,001 factoid question-answer pairs across six domains, is introduced and it is observed that Telugu phrasing retains cultural specificity that is lost in translation, speech input introduces phonetic confusions that alter question meaning, and cascaded ASR-MT errors compound progre...

RG-RCT: Real-Governed Representation-Calibrated Training for Low-Resource Medical ASR

Developing Automatic Speech Recognition (ASR) systems for specialized medical domains is challenging in lowresource settings due to the limited availability of annotated speech data. Synthetic speech generated using text to speech (TTS) systems is often used to augment training data, but directly mixing synthetic and r...