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Update results.
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# Introduction
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Please refer to <https://icefall.readthedocs.io/en/latest/recipes/aishell.html>
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for how to run models in this recipe.
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@ -7,11 +9,11 @@ for how to run models in this recipe.
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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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| `transducer_stateless` | Conformer | Embedding + Conv1d | with `k2.rnnt_loss` |
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| `transducer_stateless_modified` | Conformer | Embedding + Conv1d | with modified transducer from `optimized_transducer` |
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| `transducer_stateless_modified-2` | Conformer | Embedding + Conv1d | with modified transducer from `optimized_transducer` + extra data |
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| | Encoder | Decoder | Comment |
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|------------------------------------|-----------|--------------------|-----------------------------------------------------------------------------------|
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| `transducer_stateless` | Conformer | Embedding + Conv1d | with `k2.rnnt_loss` |
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| `transducer_stateless_modified` | Conformer | Embedding + Conv1d | with modified transducer from `optimized_transducer` |
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| `transducer_stateless_modified-2` | Conformer | Embedding + Conv1d | with modified transducer from `optimized_transducer` + extra data |
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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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## Results
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### Aishell training result(Transducer-stateless)
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#### 2022-03-01
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[./transducer_stateless_modified-2](./transducer_stateless_modified-2)
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Stateless transducer + modified transducer + using [aidatatang_200zh](http://www.openslr.org/62/) as extra training data.
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| | test |comment |
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|------------------------|------|----------------------------------------------------------------|
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| greedy search | 4.94 |--epoch 89, --avg 38, --max-duration 100, --max-sym-per-frame 1 |
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| modified beam search | 4.68 |--epoch 89, --avg 38, --max-duration 100 --beam-size 4 |
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The training commands are:
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```bash
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cd egs/aishell/ASR
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./prepare.sh --stop-stage 6
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./prepare_aidatatang_200zh.sh
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export CUDA_VISIBLE_DEVICES="0,1,2"
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./transducer_stateless_modified-2/train.py \
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--world-size 3 \
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--num-epochs 90 \
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--start-epoch 0 \
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--exp-dir transducer_stateless_modified-2/exp-2 \
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--max-duration 250 \
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--lr-factor 2.0 \
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--context-size 2 \
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--modified-transducer-prob 0.25 \
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--datatang-prob 0.2
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```
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The tensorboard log is available at
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<https://tensorboard.dev/experiment/oG72ZlWaSGua6fXkcGRRjA/>
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The commands for decoding are
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```bash
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# greedy search
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for epoch in 89; do
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for avg in 38; do
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./transducer_stateless_modified-2/decode.py \
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--epoch $epoch \
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--avg $avg \
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--exp-dir transducer_stateless_modified-2/exp-2 \
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--max-duration 100 \
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--context-size 2 \
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--decoding-method greedy_search \
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--max-sym-per-frame 1
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done
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done
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# modified beam search
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for epoch in 89; do
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for avg in 38; do
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./transducer_stateless_modified-2/decode.py \
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--epoch $epoch \
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--avg $avg \
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--exp-dir transducer_stateless_modified-2/exp-2 \
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--max-duration 100 \
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--context-size 2 \
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--decoding-method modified_beam_search \
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--beam-size 4
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done
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done
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```
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You can find a pre-trained model and decoding logs and results at
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<https://huggingface.co/csukuangfj/icefall-aishell-transducer-stateless-modified-2-2022-03-01>
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#### 2022-2-19
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(Duo Ma): The tensorboard log for training is available at https://tensorboard.dev/experiment/25PmX3MxSVGTdvIdhOwllw/#scalars
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You can find a pretrained model by visiting https://huggingface.co/shuanguanma/icefall_aishell_transducer_stateless_context_size2_epoch60_2022_2_19
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| | test |comment |
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|---------------------------|------|-----------------------------------------|
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| greedy search | 5.4 |--epoch 59, --avg 10, --max-duration 100 |
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| beam search | 5.05|--epoch 59, --avg 10, --max-duration 100 |
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| greedy search | 5.4 |--epoch 59, --avg 10, --max-duration 100 |
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| beam search | 5.05|--epoch 59, --avg 10, --max-duration 100 |
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You can use the following commands to reproduce our results:
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@ -95,7 +95,7 @@ def get_parser():
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parser.add_argument(
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"--exp-dir",
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type=str,
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default="transducer_stateless_modified/exp",
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default="transducer_stateless_modified-2/exp",
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help="The experiment dir",
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)
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