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eess.AS2026
Evaluating Inference-time Algorithms for Semantic Sound Scene Segmentation
Sripathi Sridhar, Gordon Wichern, Yoshiki Masuyama +2
Spatial semantic segmentation of sound scenes (S5) involves the detection and extraction of target sound events in audio files. However, in typical detection-extraction pipelines,…
cs.CL2026
An Evaluation Framework for Structured Audio Captions Validated by Controlled Perturbations
Liang-Yuan Wu, Sripathi Sridhar, Mark Cartwright +1
Recent advances in automated audio captioning (AAC) are driving a shift from monolithic sentences toward structured formats that disentangle acoustic and semantic properties, such…
cs.SD2026
Audiocards: Structured Metadata Improves Audio Language Models For Sound Design
Sripathi Sridhar, Prem Seetharaman, Oriol Nieto +2
Sound designers search for sounds in large sound effects libraries using aspects such as sound class or visual context. However, the metadata needed for such search is often missin…