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Revisiting End-to-End Speech-to-Text Translation From Scratch

ICML 2022 · Architectures and efficiency › Attention and transformers · approach: Efficient language transformers · 16 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
adjust length penalty at inference (ablation)Baseline Transformer ST · MuST-C En-De tst-COMMONBLEU: +0.7Helped
higher dropout (0.2 to 0.4) (ablation)Baseline Transformer ST · MuST-C En-De tst-COMMONBLEU: -0.7Hurt
dropout on raw waveform signals (ablation)Baseline Transformer ST · MuST-C En-De tst-COMMONBLEU: -3.5Hurt
halve training batch size (ablation)Baseline Transformer ST · MuST-C En-De tst-COMMONBLEU: -0.5Hurt
reduce model dimension and attention heads (d_model 512->256, H 8->4) (ablation)Transformer ST · MuST-C En-De tst-COMMONBLEU: +0.3 (with fewer params, 20M)No clear effect
enlarge encoder depth to 12 with DS-Init and enlarge FFN to 4096 (ablation)Transformer ST · MuST-C En-De tst-COMMONBLEU: +2.1 (19.0 to 21.1)Helped
parameterized distance penalty (PDP) (ablation)Transformer ST · MuST-C En-De tst-COMMONBLEU: +1.0 (system 2 to 11)Helped
random initialization of PDP weights instead of ones (ablation)PDP · MuST-C En-De tst-COMMONBLEU: -1.2Hurt
80-dim filterbank instead of 40-dim (ablation)Transformer ST with PDP · MuST-C En-De tst-COMMONBLEU: -0.2No clear effect
remove delta and delta-delta features (ablation)Transformer ST with PDP · MuST-C En-De tst-COMMONBLEU: -0.7Hurt
small BPE vocabulary (16K to 8K) (ablation)Transformer ST · MuST-C En-De tst-COMMONBLEU: 0.0No clear effect
post-LN changed to pre-LN (ablation)Deep Transformer ST · MuST-C En-De tst-COMMONBLEU: -1.2Hurt

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