Introduces the Indic-CodecFake dataset for Indic codec deepfakes and SATYAM, a novel hyperbolic ALM that outperforms baselines through dual-stage semantic-prosodic fusion using Bhattacharya distance.
arXiv preprint arXiv:2509.24187 , year=
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A reasoning-guided ordinal SER framework conditions LALMs on paired speech, trains on semantic and GeMAPS-derived reasoning traces, and applies direct preference optimization to improve comparative emotion prediction with only 5% of conventional training data.
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Indic-CodecFake meets SATYAM: Towards Detecting Neural Audio Codec Synthesized Speech Deepfakes in Indic Languages
Introduces the Indic-CodecFake dataset for Indic codec deepfakes and SATYAM, a novel hyperbolic ALM that outperforms baselines through dual-stage semantic-prosodic fusion using Bhattacharya distance.
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Comparative Reasoning: Making an Audio Language Model Better at Comparing Emotions
A reasoning-guided ordinal SER framework conditions LALMs on paired speech, trains on semantic and GeMAPS-derived reasoning traces, and applies direct preference optimization to improve comparative emotion prediction with only 5% of conventional training data.