icefall/transducer_lstm at 8be9f0d5628fd24c0146ffe6c82ce8a1ca78ac5c - icefall - Bi Git

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Fangjun Kuang f5de2e90c6

Fix style issues. (#937 )

2023-03-08 22:56:04 +08:00

..

__init__.py

Limit the number of symbols per frame in RNN-T decoding. (#151 )

2021-12-18 11:00:42 +08:00

asr_datamodule.py

RNN-T Conformer training for LibriSpeech (#143 )

2021-12-18 07:42:51 +08:00

beam_search.py

apply black on all files

2022-11-17 09:42:17 -05:00

decode.py

Fix style issues. (#937 )

2023-03-08 22:56:04 +08:00

decoder.py

Fix some typos. (#329 )

2022-04-22 15:54:59 +08:00

encoder_interface.py

RNN-T Conformer training for LibriSpeech (#143 )

2021-12-18 07:42:51 +08:00

encoder.py

apply black on all files

2022-11-17 09:42:17 -05:00

joiner.py

RNN-T Conformer training for LibriSpeech (#143 )

2021-12-18 07:42:51 +08:00

model.py

Various fixes to support torch script. (#371 )

2022-05-16 21:46:59 +08:00

noam.py

RNN-T Conformer training for LibriSpeech (#143 )

2021-12-18 07:42:51 +08:00

README.md

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_encoder.py

RNN-T Conformer training for LibriSpeech (#143 )

2021-12-18 07:42:51 +08:00

train.py

Update train.py (#773 )

2022-12-23 11:38:22 +08:00

README.md

Introduction

The encoder consists of LSTM 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"

./transducer_lstm/train.py \
  --world-size 3 \
  --num-epochs 30 \
  --start-epoch 0 \
  --exp-dir transducer_lstm/exp \
  --full-libri 1 \
  --max-duration 300 \
  --lr-factor 3