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Author

S. Devarakonda

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Conference Jul 2026

QMOS: Qwen-Based MOS Prediction for TTS

Text-to-speech systems are improving fast, but measuring how natural they sound still requires expensive human listening tests. Existing automatic methods struggle to generalise well across different datasets. We present QMOS, a MOS prediction framework that extracts hierarchical speech quality features from a frozen Q...

Ravi Sastry Kolluru, S. Devarakonda, S. Radhe Shyam Salopanthula et al. · 0 citations
Conference Jul 2026

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...

S. Devarakonda, Ravi Sastry Kolluru, Srihari Bandarupalli et al. · 0 citations

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