pkufool/icefall_asr_aishell_pruned_transducer_stateless7_bbpe

The results:

Vocab size	Greedy search(dev & test)	Modified beam search(dev & test)	Fast beam search (dev & test)	Fast beam search LG (dev & test)	comments
500	4.31 & 4.59	4.25 & 4.54	4.27 & 4.55	4.07 & 4.38	--epoch 48 --avg 29

The training command:

export CUDA_VISIBLE_DEVICES="4,5,6,7"

./pruned_transducer_stateless7_bbpe/train.py \
  --world-size 4 \
  --num-epochs 50 \
  --start-epoch 1 \
  --use-fp16 1 \
  --max-duration 800 \
  --bpe-model data/lang_bbpe_500/bbpe.model \
  --exp-dir pruned_transducer_stateless7_bbpe/exp \
  --lr-epochs 6 \
  --master-port 12535

The decoding command:

for m in greedy_search modified_beam_search fast_beam_search fast_beam_search_LG; do 
    ./pruned_transducer_stateless7_bbpe/decode.py \                                                                                                                                                                                              
      --epoch 48 \                                                                                                                                                                                                                         
      --avg 29 \                                                                                                                                                                                                                           
      --exp-dir ./pruned_transducer_stateless7_bbpe/exp \                                                                                                                                                                                  
      --max-sym-per-frame 1 \                                                                                                                                                                                                              
      --ngram-lm-scale 0.25 \                                                                                                                                                                                                            
      --ilme-scale 0.2 \                                                                                                                                                                                                                 
      --bpe-model data/lang_bbpe_500/bbpe.model \                                                                                                                                                                                         
      --max-duration 2000 \                                                                                                                                                                                                                
      --decoding-method $m
done