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@ -20,6 +20,7 @@ We provide 6 recipes at present:
- [TIMIT][timit]
- [TED-LIUM3][tedlium3]
- [GigaSpeech][gigaspeech]
- [Aidatatang_200zh][aidatatang_200zh]
### yesno
@ -217,6 +218,20 @@ and [Pruned stateless RNN-T: Conformer encoder + Embedding decoder + k2 pruned R
| fast beam search | 10.50 | 10.69 |
| modified beam search | 10.40 | 10.51 |
### Aidatatang_200zh
We provide one model for this recipe: [Pruned stateless RNN-T: Conformer encoder + Embedding decoder + k2 pruned RNN-T loss][Aidatatang_200zh
_pruned_transducer_stateless2].
#### Pruned stateless RNN-T: Conformer encoder + Embedding decoder + k2 pruned RNN-T loss
| | Dev | Test |
|----------------------|-------|-------|
| greedy search | 5.53 | 6.59 |
| fast beam search | 5.29 | 6.33 |
| modified beam search | 5.28 | 6.32 |
We provide a Colab notebook to run a pre-trained Pruned Transducer Stateless model: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)(https://colab.research.google.com/drive/1wNSnSj3T5oOctbh5IGCa393gKOoQw2GH?usp=sharing)
## Deployment with C++
@ -243,10 +258,12 @@ Please see: [![Open In Colab](https://colab.research.google.com/assets/colab-bad
[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
[Aidatatang_200zh_pruned_transducer_stateless2]: egs/aidatatang_200zh/ASR/pruned_transducer_stateless2
[yesno]: egs/yesno/ASR
[librispeech]: egs/librispeech/ASR
[aishell]: egs/aishell/ASR
[timit]: egs/timit/ASR
[tedlium3]: egs/tedlium3/ASR
[gigaspeech]: egs/gigaspeech/ASR
[aidatatang_200zh]: egs/aidatatang_200zh/ASR
[k2]: https://github.com/k2-fsa/k2