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icefall/egs/librispeech/ASR/transducer
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Wei Kang 5c17255eec
Sort results to make it more convenient to compare decoding results (#522) 
* Sort result to make it more convenient to compare decoding results

* Add cut_id to recognition results

* add cut_id to results for all recipes

* Fix torch.jit.script

* Fix comments

* Minor fixes

* Fix torch.jit.tracing for Pytorch version before v1.9.0
2022-08-12 07:12:50 +08:00
..
__init__.py
Apply layer normalization to the output of each gate in LSTM/GRU. (#139)
2021-12-07 18:38:03 +08:00
asr_datamodule.py
RNN-T Conformer training for LibriSpeech (#143)
2021-12-18 07:42:51 +08:00
beam_search.py
Fix torch.nn.Embedding error for torch below 1.8.0 (#198)
2022-02-06 21:59:54 +08:00
conformer.py
Fix joiner (#234)
2022-03-02 16:41:14 +08:00
decode.py
Sort results to make it more convenient to compare decoding results (#522)
2022-08-12 07:12:50 +08:00
decoder.py
Fix some typos. (#329)
2022-04-22 15:54:59 +08:00
encoder_interface.py
Fix joiner (#234)
2022-03-02 16:41:14 +08:00
export.py
Remove batchnorm, weight decay, and SOS from transducer conformer encoder (#155)
2021-12-27 16:01:10 +08:00
joiner.py
Minor fixes to the RNN-T Conformer model (#152)
2021-12-23 13:54:25 +08:00
model.py
Fix torch.nn.Embedding error for torch below 1.8.0 (#198)
2022-02-06 21:59:54 +08:00
pretrained.py
Remove batchnorm, weight decay, and SOS from transducer conformer encoder (#155)
2021-12-27 16:01:10 +08:00
README.md
RNN-T Conformer training for LibriSpeech (#143)
2021-12-18 07:42:51 +08:00
rnn.py
RNN-T Conformer training for LibriSpeech (#143)
2021-12-18 07:42:51 +08:00
subsampling.py
RNN-T Conformer training for LibriSpeech (#143)
2021-12-18 07:42:51 +08:00
test_conformer.py
Minor fixes to the RNN-T Conformer model (#152)
2021-12-23 13:54:25 +08:00
test_decoder.py
Minor fixes to the RNN-T Conformer model (#152)
2021-12-23 13:54:25 +08:00
test_joiner.py
RNN-T Conformer training for LibriSpeech (#143)
2021-12-18 07:42:51 +08:00
test_rnn.py
RNN-T Conformer training for LibriSpeech (#143)
2021-12-18 07:42:51 +08:00
test_transducer.py
Minor fixes to the RNN-T Conformer model (#152)
2021-12-23 13:54:25 +08:00
test_transformer.py
Minor fixes to the RNN-T Conformer model (#152)
2021-12-23 13:54:25 +08:00
train.py
fix about tensorboard (#516)
2022-08-04 19:57:12 +08:00
transformer.py
Fix joiner (#234)
2022-03-02 16:41:14 +08:00

README.md

Introduction

The encoder consists of Conformer layers in this folder. You can use the following command to start the training:

cd egs/librispeech/ASR

export CUDA_VISIBLE_DEVICES="0,1,2,3"

./transducer/train.py \
  --world-size 4 \
  --num-epochs 30 \
  --start-epoch 0 \
  --exp-dir transducer/exp \
  --full-libri 1 \
  --max-duration 250 \
  --lr-factor 2.5