22 citations · 78 across the 18 of their papers we have counts for
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Heterogeneous Graph Learning for Acoustic Event Classification
Amir Shirian, Mona Ahmadian, Krishna Somandepalli +1
Heterogeneous graphs provide a compact, efficient, and scalable way to model data involving multiple disparate modalities. This makes modeling audiovisual data using heterogeneous…
Visually-aware Acoustic Event Detection using Heterogeneous Graphs
Amir Shirian, Krishna Somandepalli, Victor Sanchez +1
Perception of auditory events is inherently multimodal relying on both audio and visual cues. A large number of existing multimodal approaches process each modality using modality-…
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers
Josh Belanich, Krishna Somandepalli, Brian Eoff +1
This technical report presents the modeling approaches used in our submission to the ICML Expressive Vocalizations Workshop & Competition multitask track (ExVo-MultiTask). We first…