Papers by Balaji Darur

1 papers
Visual-Aware Speech Recognition for Noisy Scenarios (2025.emnlp-main)

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Challenge: Existing audio-only models that use visual cues for transcription struggle in noisy environments.
Approach: They propose a method that correlates visual cues with noise sources to improve transcription by filtering speech from noise and predicting noise labels in video inputs.
Outcome: The proposed model improves transcription by correlating noise sources to visual cues in audio inputs.

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