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A Data-Driven Investigation of Noise-Adaptive Utterance Generation with Linguistic Modification
In noisy environments, speech can be hard to understand for humans.
Exploring the Potential of Lexical Paraphrases for Mitigating Noise-Induced Comprehension Errors
We evaluate the intelligibility of synonyms in context and find that choosing a lexical unit that is less risky to be misheard than its synonym introduced an average gain in comprehension of 37% at SNR -5 dB and 21% at SNR 0 dB for babble noise.
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