Comments (1)
Please check the model.py and relevant source code for more details, currently we don't plan to do detailed benchmarking on performance for every recipe.
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Related Issues (20)
- Data cleaning HOT 3
- ONNX decode error HOT 2
- OTC with conformer librispeech/WASR isn't converage.
- ONNX bug HOT 9
- Questions about modifying prepare.sh for training ASR model on custom data HOT 2
- How to use my own dataset based on another dataset HOT 3
- kaldifeat installation error HOT 2
- Why unique lexicon is needed in Chinese ASR, but not in English ASR?
- Error during training OTC conformer_ctc2 HOT 1
- ONNX and Torch models HOT 1
- how to decrease the right chunk size when using zipformer model?
- How to load the base model in the fine-tuning task of KWS HOT 3
- Getting segmentation fault HOT 9
- Training break down. details is showed below HOT 3
- training very slowly HOT 16
- Using my own data to train pruned_transducer_stateless7_ctc_bs, encountered an error
- Grad scale is too small HOT 10
- Non-streaming Conformer model with pruned_rnnt_loss always emits the first non-blank characters on the very first frames. HOT 1
- fast_beam_search_nbest gives very high WER compared to fast_beam_search and greedy. HOT 2
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