diff --git a/egs/librispeech/ASR/RESULTS.md b/egs/librispeech/ASR/RESULTS.md index 2e6fb7c8e..355b69a99 100644 --- a/egs/librispeech/ASR/RESULTS.md +++ b/egs/librispeech/ASR/RESULTS.md @@ -214,7 +214,7 @@ done --exp-dir ./transducer_stateless/exp-2 \ --max-duration 1000 \ --decoding-method modified_beam_search \ - --max-sym-per-frame $sym + --beam-size 4 ``` You can find a pretrained model by visiting @@ -225,7 +225,62 @@ You can find a pretrained model by visiting Using commit `395a3f952be1449cd7c92b896f4eb9a1c899e2c7`. (--modified-transducer-prob 0.0) -**TODO**: Add results. + +| | test-clean | test-other | comment | +|-------------------------------------|------------|------------|------------------------------------------| +| greedy search (max sym per frame 1) | 2.67 | 6.44 | --epoch 49, --avg 11, --max-duration 1000| +| greedy search (max sym per frame 2) | 2.63 | 6.37 | --epoch 49, --avg 11, --max-duration 1000| +| greedy search (max sym per frame 3) | 2.63 | 6.37 | --epoch 49, --avg 11, --max-duration 1000| +| modified beam search (beam size 4) | 2.62 | 6.32 | --epoch 49, --avg 11, --max-duration 1000| + +The training command for reproducing is given below: +```bash +export CUDA_VISIBLE_DEVICES="1,2,3,4,5,6,7" + +. path.sh + +./transducer_stateless/train.py \ + --world-size 7 \ + --num-epochs 60 \ + --start-epoch 0 \ + --exp-dir transducer_stateless/exp \ + --full-libri 1 \ + --max-duration 300 \ + --lr-factor 5 \ + --modified-transducer-prob 0.0 +``` + +The tensorboard training log can be found at + + +The decoding command is: +```bash +epoch=49 +avg=11 + +## greedy search +for sym in 1 2 3; do + ./transducer_stateless/decode.py \ + --epoch $epoch \ + --avg $avg \ + --exp-dir ./transducer_stateless/exp \ + --max-duration 1000 \ + --decoding-method greedy_search \ + --max-sym-per-frame $sym +done + +## modified_beam_search +./transducer_stateless/decode.py \ + --epoch $epoch \ + --avg $avg \ + --exp-dir ./transducer_stateless/exp \ + --max-duration 1000 \ + --decoding-method modified_beam_search \ + --beam-size 4 +``` + +You can find a pretrained model by visiting + ##### 2022-03-01