42 citations · 55 across the 16 of their papers we have counts for
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cs.CL2019
Adaptive Fusion Techniques for Multimodal Data
Gaurav Sahu, Olga Vechtomova
Effective fusion of data from multiple modalities, such as video, speech, and text, is challenging due to the heterogeneous nature of multimodal data. In this paper, we propose ada…
cs.CL2019
Adversarial Learning on the Latent Space for Diverse Dialog Generation
Kashif Khan, Gaurav Sahu, Vikash Balasubramanian +2
Generating relevant responses in a dialog is challenging, and requires not only proper modeling of context in the conversation but also being able to generate fluent sentences duri…
cs.LG2019★ 42 cited
Multimodal Speech Emotion Recognition and Ambiguity Resolution
Gaurav Sahu
Identifying emotion from speech is a non-trivial task pertaining to the ambiguous definition of emotion itself. In this work, we adopt a feature-engineering based approach to tackl…