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Thapar Institute of Engineering and Technology, Patiala, Punjab, India
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Fragile gains in low-resource ASR performance are exposed, with standard methods outperforming complex alternatives in Garhwali speech recognition.
Sarcasm detection in audio is revolutionized by a framework that quantifies prosodic incongruity, achieving state-of-the-art performance across multiple datasets.
