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- W4288336345 abstract "Previous work on end-to-end translation from speech has primarily used frame-level features as speech representations, which creates longer, sparser sequences than text. We show that a naive method to create compressed phoneme-like speech representations is far more effective and efficient for translation than traditional frame-level speech features. Specifically, we generate phoneme labels for speech frames and average consecutive frames with the same label to create shorter, higher-level source sequences for translation. We see improvements of up to 5 BLEU on both our high and low resource language pairs, with a reduction in training time of 60%. Our improvements hold across multiple data sizes and two language pairs." @default.
- W4288336345 created "2022-07-29" @default.
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- W4288336345 date "2019-06-04" @default.
- W4288336345 modified "2023-09-25" @default.
- W4288336345 title "Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation" @default.
- W4288336345 doi "https://doi.org/10.48550/arxiv.1906.01199" @default.
- W4288336345 hasPublicationYear "2019" @default.
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