Instructions to use SadeghK/stt_nemo_fastconformer_transducer_hybrid_cache_aware_streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use SadeghK/stt_nemo_fastconformer_transducer_hybrid_cache_aware_streaming with NeMo:
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- Notebooks
- Google Colab
- Kaggle
STT for Persian ASR, with cache enabled
Here is the WER convergence for both CTC and Transducer.

Model
1040ms lookahead settings
Training
Training without tarred and bucketing. Training in different stages, first with some higher LR values, and later decrease in plateues.
Performance
WER: 2.16% CTC WER: 3.22%
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