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Sujith Pulikodan

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Preprint Aug 2026

SraVaani 1.0: Scaling Inclusive Speech Recognition for Indic Languages

SraVaani-1.0 achieves the lowest word error rate (WER) on a large number of language-dataset pairs while remaining competitive with the best-performing systems on high resource while being assessed exclusively on the VAANI benchmark.

Sujith Pulikodan, A. Basu, J. Pavankumar et al. · 1 citation · ⚡1
Preprint Aug 2026

Evaluating Pre-trained Speech Encoders for Spontaneous Speech Detection and Out of Domain Synthetic Speech Generalisation in Indic Languages

Centroid analysis shows that out-of-domain generalisation is predicted by a training system's proximity to unseen TTS embeddings, not its distance from natural speech, a finding with direct implications for training data selection in real-world deepfake detectors.

Varun Rai, J. PavanKumar, Sujith Pulikodan et al. · 0 citations

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