icefall/egs/aishell/ASR/RESULTS.md

Results

Aishell training results (Conformer-CTC)

2021-09-13

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

Pretrained model is available at https://huggingface.co/pkufool/icefall_asr_aishell_conformer_ctc

The best decoding results (CER) are listed below, we got this results by averaging models from epoch 23 to 40, and using attention-decoder decoder with num_paths equals to 100.

	test
CER	4.74%

To get more unique paths, we scaled the lattice.scores with 0.5 (see https://github.com/k2-fsa/icefall/pull/10#discussion_r690951662 for more details), we searched the lm_score_scale and attention_score_scale for best results, the scales that produced the CER above are also listed below.

	lm_scale	attention_scale
test	0.3	0.9

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"
python conformer_ctc/train.py --bucketing-sampler False \
                              --concatenate-cuts False \
                              --max-duration 200 \
                              --world-size 2

python conformer_ctc/decode.py --lattice-score-scale 0.5 \
                               --epoch 40 \
                               --avg 18 \
                               --method attention-decoder \
                               --max-duration 50 \
                               --num-paths 100

Aishell training results (Tdnn-Lstm)

2021-09-13

(Wei Kang): Result of phone based Tdnn-Lstm model, https://github.com/k2-fsa/icefall/pull/30

Pretrained model is available at https://huggingface.co/pkufool/icefall_asr_aishell_conformer_ctc_lstm_ctc

The best decoding results (CER) are listed below, we got this results by averaging models from epoch 19 to 8, and using 1best decoding method.

	test
CER	10.16%