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Results

AIShell training results (Conformer-CTC)

2021-11-17

(Wei Kang): Result of https://github.com/k2-fsa/icefall/pull/30 (Pinfeng Luo): Result of https://github.com/k2-fsa/icefall/pull/30

Pretrained model is available at https://huggingface.co/pfluo/icefall_aishell_model The tensorboard log for training is available at https://tensorboard.dev/experiment/zsw6Hn6EQlG8I7HqEkiQpw

The best decoding results (CER) are listed below, we got this results by averaging models from epoch 30 to 49, and using attention-decoder decoder with num_paths equals to 100.

test
CER 4.38%
lm_scale attention_scale
test 0.6 1.2

You can use the following commands to reproduce our results:

git clone https://github.com/k2-fsa/icefall
cd icefall

cd egs/aishell/ASR
./prepare.sh

export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"
python3 conformer_ctc/train.py --bucketing-sampler False \
                              --concatenate-cuts False \
                              --max-duration 200 \
                              --world-size 8

python3 conformer_ctc/decode.py --lattice-score-scale 0.5 \
                               --epoch 49 \
                               --avg 20 \
                               --method attention-decoder \
                               --max-duration 50 \
                               --num-paths 100