Speech Recognition On Chime 6 Eval
Metrics
Word Error Rate (WER)
Results
Performance results of various models on this benchmark
Model Name | Word Error Rate (WER) | Paper Title | Repository |
|---|---|---|---|
| SpeechStew (1B) | 38.9 | SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network | - |
| ConformerXXL-PS + G-Augment | 30.7 | G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR | - |
| ConformerXXL-PS | 31 | BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition | - |
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