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README.md
README.md
 
 
__init__.py
__init__.py
 
 
asr_datamodule.py
asr_datamodule.py
 
 
beam_search.py
beam_search.py
 
 
conformer.py
conformer.py
 
 
decode.py
decode.py
 
 
decoder.py
decoder.py
 
 
encoder_interface.py
encoder_interface.py
 
 
export.py
export.py
 
 
joiner.py
joiner.py
 
 
model.py
model.py
 
 
pretrained.py
pretrained.py
 
 
rnn.py
rnn.py
 
 
subsampling.py
subsampling.py
 
 
test_conformer.py
test_conformer.py
 
 
test_decoder.py
test_decoder.py
 
 
test_joiner.py
test_joiner.py
 
 
test_rnn.py
test_rnn.py
 
 
test_transducer.py
test_transducer.py
 
 
test_transformer.py
test_transformer.py
 
 
train.py
train.py
 
 
transformer.py
transformer.py
 
 

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