Paraformer

pretrained model in ModelScope：speech_paraformer_asr_nat-aishell1-pytorch

Training Config

Feature info: using 80 dims fbank, global cmvn, speed perturb(0.9, 1.0, 1.1), specaugment
Train info: lr 5e-4, batch_size 25000, 2 gpu(Tesla V100), acc_grad 1, 50 epochs
Train config: conf/train_asr_paraformer_conformer_12e_6d_2048_256.yaml
LM config: LM was not used

Results (CER)

Decode config: conf/decode_asr_transformer_noctc_1best.yaml (ctc weight:0.0)

testset	CER(%)
dev	4.66
test	5.11

Decode config: conf/decode_asr_transformer.yaml (ctc weight:0.5)

testset	CER(%)
dev	4.52
test	4.94