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3b40d9bbb1
* Add first cut at ReazonSpeech recipe This recipe is mostly based on egs/csj, but tweaked to the point that can be run with ReazonSpeech corpus. Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> --------- Signed-off-by: Fujimoto Seiji <fujimoto@ceptord.net> Co-authored-by: Fujimoto Seiji <fujimoto@ceptord.net> Co-authored-by: Chen <qc@KDM00.cm.cluster> Co-authored-by: root <root@KDA01.cm.cluster>
1.3 KiB
1.3 KiB
Results
Zipformer
Non-streaming
large-scaled model, number of model parameters: 159337842, i.e., 159.34 M
| decoding method | In-Distribution CER | JSUT | CommonVoice | TEDx | comment |
|---|---|---|---|---|---|
| greedy search | 4.2 | 6.7 | 7.84 | 17.9 | --epoch 39 --avg 7 |
| modified beam search | 4.13 | 6.77 | 7.69 | 17.82 | --epoch 39 --avg 7 |
The training command is:
./zipformer/train.py \
--world-size 8 \
--num-epochs 40 \
--start-epoch 1 \
--use-fp16 1 \
--exp-dir zipformer/exp-large \
--causal 0 \
--num-encoder-layers 2,2,4,5,4,2 \
--feedforward-dim 512,768,1536,2048,1536,768 \
--encoder-dim 192,256,512,768,512,256 \
--encoder-unmasked-dim 192,192,256,320,256,192 \
--lang data/lang_char \
--max-duration 1600
The decoding command is:
./zipformer/decode.py \
--epoch 40 \
--avg 16 \
--exp-dir zipformer/exp-large \
--max-duration 600 \
--causal 0 \
--decoding-method greedy_search \
--num-encoder-layers 2,2,4,5,4,2 \
--feedforward-dim 512,768,1536,2048,1536,768 \
--encoder-dim 192,256,512,768,512,256 \
--encoder-unmasked-dim 192,192,256,320,256,192 \
--lang data/lang_char \
--blank-penalty 0