A multimodal call-sign and command recovery model improves call-sign accuracy on degraded ATC transcripts while using a smaller, faster base model than the prior state of the art.
Iterative learning of speech recognition models for air traffic control,
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Utilizing Multimodal Data for Edge Case Robust Call-sign Recognition and Understanding
A multimodal call-sign and command recovery model improves call-sign accuracy on degraded ATC transcripts while using a smaller, faster base model than the prior state of the art.