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eess.AS2026
VAANI Noise Event Dataset: A curated spontaneous speech dataset annotated with timestamps for noise events
Pavan Kumar J, Agneedh Basu, Pranav Bhat +3
Most public sound-event corpora are optimized either for general audio tagging or for clean speech separation, and comparatively few provide strong timestamped noise annotations la…
eess.AS2026
Analyzing Language and Geographical Variation in Speech Representations Across 60 Indic Languages
Pavan Kumar J, Agneedh Basu, Pranav Bhat +4
Self-supervised speech encoders are often fine-tuned with language supervision, which can overlook geographical variation. To understand the learned representations under joint sup…
eess.AS2026
An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages
Sujith Pulikodan, Agneedh Basu, Pavan Kumar +4
Synthetic data has the potential to be a valuable resource for training machine learning models, particularly Automatic Speech Recognition (ASR) Systems; however, its effectiveness…