Speech Recognition On Common Voice 2
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Test WER
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Test WER | Paper Title | Repository |
|---|---|---|---|
| SpeechStew (1B) | 10.8% | SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network | - |
| ConformerXXL-P + Downstream NST | 7.7% | BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition | - |
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