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Speech Recognition On Chime 6 Dev Gss12
Metrics
Word Error Rate (WER)
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| RNN-T | 55 | Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription | |
| SpeechStew (1B) | 31.9 | SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network | - |
| ConformerXXL-PS | 26.2 | BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition | - |
| ConformerXXL-PS + G-Augment | 26 | G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR | - |
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