23 citations · 52 across the 19 of their papers we have counts for
4 papers · 1 filter
Reasoning Over History: Context Aware Visual Dialog
Muhammad A. Shah, Shikib Mehri, Tejas Srinivasan
While neural models have been shown to exhibit strong performance on single-turn visual question answering (VQA) tasks, extending VQA to a multi-turn, conversational setting remain…
Multimodal Speech Recognition with Unstructured Audio Masking
Tejas Srinivasan, Ramon Sanabria, Florian Metze +1
Visual context has been shown to be useful for automatic speech recognition (ASR) systems when the speech signal is noisy or corrupted. Previous work, however, has only demonstrate…
Fine-Grained Grounding for Multimodal Speech Recognition
Tejas Srinivasan, Ramon Sanabria, Florian Metze +1
Multimodal automatic speech recognition systems integrate information from images to improve speech recognition quality, by grounding the speech in the visual context. While visual…
Looking Enhances Listening: Recovering Missing Speech Using Images
Tejas Srinivasan, Ramon Sanabria, Florian Metze
Speech is understood better by using visual context; for this reason, there have been many attempts to use images to adapt automatic speech recognition (ASR) systems. Current work,…