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Update RESULTS.md

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@ -14,7 +14,7 @@ The WERs are:
|---------------------------|------------|------------|------------------------------------------|
| greedy search | 2.08 | 2.14 | --epoch 30 --avg 10 |
| modified beam search | 2.05 | 2.09 | --epoch 30 --avg 10 --beam-size 4 |
n| fast beam search | 2.07 | 2.17 | --epoch 30 --avg 10 --beam 20 --max-contexts 8 --max-states 64 |
| fast beam search | 2.07 | 2.17 | --epoch 30 --avg 10 --beam 20 --max-contexts 8 --max-states 64 |
**NOTE:** SPGISpeech transcripts can be prepared in `ortho` or `norm` ways, which refer to whether the
transcripts are orthographic or normalized. These WERs correspond to the normalized transcription
@ -39,31 +39,30 @@ The decoding command is:
```
# greedy search
python ./zipformer/decode.py \
--epoch $epoch \
--avg $avg \
--exp-dir ./zipformer/exp \
--max-duration 1000 \
--decoding-method modified_beam_search
--decoding-method greedy_search
--epoch $epoch \
--avg $avg \
--exp-dir ./zipformer/exp \
--max-duration 1000 \
--decoding-method greedy_search
# modified beam search
python ./zipformer/decode.py \
--epoch $epoch \
--avg $avg \
--exp-dir ./zipformer/exp \
--max-duration 1000 \
--decoding-method modified_beam_search
--epoch $epoch \
--avg $avg \
--exp-dir ./zipformer/exp \
--max-duration 1000 \
--decoding-method modified_beam_search
# fast beam search
python ./zipformer/decode.py \
--epoch $epoch \
--avg $avg \
--exp-dir ./zipformer/exp \
--max-duration 1000 \
--decoding-method fast_beam_search
--beam 4 \
--max-contexts 4 \
--max-states 8
--epoch $epoch \
--avg $avg \
--exp-dir ./zipformer/exp \
--max-duration 1000 \
--decoding-method fast_beam_search
--beam 4 \
--max-contexts 4 \
--max-states 8
```
### SPGISpeech BPE training results (Pruned Transducer)
@ -109,28 +108,28 @@ The decoding command is:
```
# greedy search
./pruned_transducer_stateless2/decode.py \
--iter 696000 --avg 10 \
--exp-dir ./pruned_transducer_stateless2/exp \
--max-duration 100 \
--decoding-method greedy_search
--iter 696000 --avg 10 \
--exp-dir ./pruned_transducer_stateless2/exp \
--max-duration 100 \
--decoding-method greedy_search
# modified beam search
./pruned_transducer_stateless2/decode.py \
--iter 696000 --avg 10 \
--exp-dir ./pruned_transducer_stateless2/exp \
--max-duration 100 \
--decoding-method modified_beam_search \
--beam-size 4
--iter 696000 --avg 10 \
--exp-dir ./pruned_transducer_stateless2/exp \
--max-duration 100 \
--decoding-method modified_beam_search \
--beam-size 4
# fast beam search
./pruned_transducer_stateless2/decode.py \
--iter 696000 --avg 10 \
--exp-dir ./pruned_transducer_stateless2/exp \
--max-duration 1500 \
--decoding-method fast_beam_search \
--beam 4 \
--max-contexts 4 \
--max-states 8
--iter 696000 --avg 10 \
--exp-dir ./pruned_transducer_stateless2/exp \
--max-duration 1500 \
--decoding-method fast_beam_search \
--beam 4 \
--max-contexts 4 \
--max-states 8
```
Pretrained model is available at <https://huggingface.co/desh2608/icefall-asr-spgispeech-pruned-transducer-stateless2>