PiDA generates phonetically similar corruptions for fine-tuning NMT on FLEURS Vietnamese-English, improving translation of ASR errors by up to +2.04 BLEU while slightly boosting clean performance.
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Evaluation of WhisperIPA and ZIPA reveals persistent performance gaps across languages, accents, gender, ethnicity, and age even after allowing for similar phoneme substitutions.
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PiDA: Phonetically-Informed Data Augmentation for Robust Vietnamese Speech Translation
PiDA generates phonetically similar corruptions for fine-tuning NMT on FLEURS Vietnamese-English, improving translation of ASR errors by up to +2.04 BLEU while slightly boosting clean performance.
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Evaluating Bias in Phoneme-Based Automatic Speech Recognition Systems: An Analysis of IPA Transcription Models
Evaluation of WhisperIPA and ZIPA reveals persistent performance gaps across languages, accents, gender, ethnicity, and age even after allowing for similar phoneme substitutions.