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PaddleSpeech/examples/librispeech/s1/README.md

2.3 KiB

LibriSpeech

Data

| Data Subset | Duration in Seconds | | data/manifest.train | 0.83s ~ 29.735s | | data/manifest.dev | 1.065 ~ 35.155s |
| data/manifest.test-clean | 1.285s ~ 34.955s |

Conformer

Model Params Config Augmentation Test set Decode method Loss WER
conformer 47.63 M conf/conformer.yaml spec_aug + shift test-clean attention 6.35 0.030162
conformer 47.63 M conf/conformer.yaml spec_aug + shift test-clean ctc_greedy_search 6.35 0.037910
conformer 47.63 M conf/conformer.yaml spec_aug + shift test-clean ctc_prefix_beam_search 6.35 0.037761
conformer 47.63 M conf/conformer.yaml spec_aug + shift test-clean attention_rescoring 6.35 0.032115

Test w/o length filter

Model Params Config Augmentation Test set Decode method Loss WER
conformer 47.63 M conf/conformer.yaml spec_aug + shift test-clean-all attention 6.35 0.057117

Chunk Conformer

Model Params Config Augmentation Test set Decode method Chunk Size & Left Chunks Loss WER
conformer 47.63 M conf/chunk_conformer.yaml spec_aug + shift test-clean attention 16, -1 7.01250648 0.069548
conformer 47.63 M conf/chunk_conformer.yaml spec_aug + shift test-clean ctc_greedy_search 16, -1 7.01250648 0.094753
conformer 47.63 M conf/chunk_conformer.yaml spec_aug + shift test-clean ctc_prefix_beam_search 16, -1 7.01250648 -
conformer 47.63 M conf/chunk_conformer.yaml spec_aug + shift test-clean attention_rescoring 16, -1 7.01250648 -

Transformer

Model Params Config Augmentation Test set Decode method Loss WER
transformer 32.52 M conf/transformer.yaml spec_aug + shift test-clean attention 6.98 0.036

Test w/o length filter

Model Params Config Augmentation Test set Decode method Loss WER
transformer 32.52 M conf/transformer.yaml spec_aug + shift test-clean-all attention 6.98 0.066500