ASR errors correction
Open Challenge for Correcting Errors of Speech Recognition Systems [ver. 1.0.0]
This is a long list of all submissions, if you want to see only the best, click leaderboard.
| # | submitter | when | ver. | description | test-A CharMatch | test-A Accuracy | test-A WER | |
|---|---|---|---|---|---|---|---|---|
| 2 | [anonymized] | 2020-06-05 20:45 | 1.0.0 | smt on whole words mert=WER | 0.1911226221309279 | 0.683 | 5.025824394119984e-2 | |
| 3 | [anonymized] | 2020-06-05 16:18 | 1.0.0 | Transformer + subword learning batch_size=4096 dropout=0.1 label_smoothing=0.1 layers=6 learning-rate=changing optim=adam steps=80000 warmup_steps=8000 neural-network transformer | 0.10249453613686037 | 0.671 | 5.9263673685604555e-2 | |
| 5 | [anonymized] | 2020-06-05 16:11 | 1.0.0 | This my brilliant solution batch_size=4096 dropout=0.1 label_smoothing=0.1 layers=6 learning-rate=changing optim=adam steps=80000 warmup_steps=8000 neural-network transformer left-to-right | 8.50892984342015e-3 | 0.0 | 1.0086743477685074 | |
| 4 | [anonymized] | 2020-05-27 13:31 | 1.0.0 | dumb way - first try dumz20-challenge | 3.980171509208669e-3 | 8.0e-3 | 0.38431995762150706 | |
| 1 | [anonymized] | 2020-03-17 01:12 | 1.0.0 | 1:1, dumbest way possible ^^ stupid dumz20-challenge | 0.0 | 0.752 | 4.456363395576745e-2 |