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The paper finds that multi-hop RAG methods amplify ASR corruption in queries, reducing robustness in speech-based retrieval systems compared to naive methods.
This paper presents PiDA, a phonetically-informed data augmentation method for Vietnamese speech translation that improves robustness by generating ASR-like corruptions using phonetic word embeddings, achieving up to +2.04 BLEU on noisy outputs.