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* add aishell2 * fix aishell2 * add manifest stats * update prepare char dict * fix lint * setting max duration * lint * change context size to 1 * update result * update hf link * fix decoding comment * add more decoding methods * update result * change context-size 2 default
20 lines
909 B
Markdown
20 lines
909 B
Markdown
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# Introduction
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This recipe includes some different ASR models trained with Aishell2.
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[./RESULTS.md](./RESULTS.md) contains the latest results.
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# Transducers
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There are various folders containing the name `transducer` in this folder.
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The following table lists the differences among them.
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| | Encoder | Decoder | Comment |
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|---------------------------------------|---------------------|--------------------|-----------------------------|
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| `pruned_transducer_stateless5` | Conformer(modified) | Embedding + Conv1d | same as pruned_transducer_stateless5 in librispeech recipe |
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The decoder in `transducer_stateless` is modified from the paper
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[Rnn-Transducer with Stateless Prediction Network](https://ieeexplore.ieee.org/document/9054419/).
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We place an additional Conv1d layer right after the input embedding layer.
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