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Update README.md

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@@ -21,7 +21,7 @@ tags:
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  - automatic-speech-recognition
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  - speech
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  - audio
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- - CTC
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  - Conformer
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  - Transformer
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  - pytorch
@@ -211,7 +211,7 @@ Conformer-Transducer model is an autoregressive variant of Conformer model [1] f
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  ## Training
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- The NeMo toolkit [3] was used for training the models for over several hundred epochs. These model are trained with this [example script](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/asr_ctc/speech_to_text_ctc_bpe.py) and this [base config](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/conformer/conformer_ctc_bpe.yaml).
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  The tokenizers for these models were built using the text transcripts of the train set with this [script](https://github.com/NVIDIA/NeMo/blob/main/scripts/tokenizers/process_asr_text_tokenizer.py).
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  - automatic-speech-recognition
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  - speech
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  - audio
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+ - Transducer
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  - Conformer
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  - Transformer
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  - pytorch
 
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  ## Training
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+ The NeMo toolkit [3] was used for training the models for over several hundred epochs. These model are trained with this [example script](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/asr_transducer/speech_to_text_rnnt_bpe.py) and this [base config](https://github.com/NVIDIA/NeMo/blob/main/examples/asr/conf/conformer/conformer_transducer_bpe.yaml).
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  The tokenizers for these models were built using the text transcripts of the train set with this [script](https://github.com/NVIDIA/NeMo/blob/main/scripts/tokenizers/process_asr_text_tokenizer.py).
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