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Guanbo Wang 2022-05-15 00:39:39 -04:00
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@ -200,13 +200,16 @@ We provide a Colab notebook to run a pre-trained Pruned Transducer Stateless mod
### GigaSpeech
We provide two models for this recipe: [Conformer CTC model][GigaSpeech_conformer_ctc]
and [Pruned stateless RNN-T: Conformer encoder + Embedding decoder + k2 pruned RNN-T loss][GigaSpeech_pruned_transducer_stateless2].
#### Conformer CTC
| | Dev | Test |
|-----|-------|-------|
| WER | 10.47 | 10.58 |
#### Pruned stateless RNN-T
#### Pruned stateless RNN-T: Conformer encoder + Embedding decoder + k2 pruned RNN-T loss
| | Dev | Test |
|----------------------|-------|-------|
@ -238,6 +241,8 @@ Please see: [![Open In Colab](https://colab.research.google.com/assets/colab-bad
[TIMIT_tdnn_ligru_ctc]: egs/timit/ASR/tdnn_ligru_ctc
[TED-LIUM3_transducer_stateless]: egs/tedlium3/ASR/transducer_stateless
[TED-LIUM3_pruned_transducer_stateless]: egs/tedlium3/ASR/pruned_transducer_stateless
[GigaSpeech_conformer_ctc]: egs/gigaspeech/ASR/conformer_ctc
[GigaSpeech_pruned_transducer_stateless2]: egs/gigaspeech/ASR/pruned_transducer_stateless2
[yesno]: egs/yesno/ASR
[librispeech]: egs/librispeech/ASR
[aishell]: egs/aishell/ASR