dohe0342 507130fe2e from local

2023-02-02 18:38:19 +09:00

..

__init__.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

.decode.py.swp

from local

2023-02-02 18:38:19 +09:00

asr_datamodule.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

beam_search.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

ctc_decode.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

decode.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

decoder.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

encoder_interface.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

export.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

jit_pretrained_ctc.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

jit_pretrained.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

joiner.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

model.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

optim.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

pretrained_ctc.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

pretrained.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

scaling_converter.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

scaling.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

test_model.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00

train.py

Update train.py with parameters_names as required by optimizer initialization (#742)

2022-12-08 20:21:51 +08:00

zipformer.py

Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683)

2022-12-03 19:01:10 +08:00