Papers with Speech noise injection

1 papers
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding (2024.emnlp-main)

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Challenge: Existing methods to increase the robustness of pre-trained language models (PLMs) against unseen ASR systems produce noisy inputs for SLU models, which can significantly degrade their performance.
Approach: They propose to introduce ASR-plausible noises into pre-trained language models by cutting off the non-causal effect of noises.
Outcome: The proposed method improves the robustness and generalizability of SLU models against unseen ASR systems by cutting off the non-causal effect of noises.

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