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Commits on Feb 7, 2022

• Use modified transducer loss in training. (k2-fsa#179)

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Commits on Jan 10, 2022

• Use optimized_transducer to compute transducer loss. (k2-fsa#162)

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Commits on Dec 27, 2021

• Remove batchnorm, weight decay, and SOS from transducer conformer encoder (k2-fsa#155)

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Commits on Dec 23, 2021

• Minor fixes to the RNN-T Conformer model (k2-fsa#152)

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Commits on Dec 22, 2021

• Increase the size of the context in the RNN-T decoder. (k2-fsa#153)

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Commits on Dec 17, 2021

• RNN-T Conformer training for LibriSpeech (k2-fsa#143)

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Commits on Dec 7, 2021

• Apply layer normalization to the output of each gate in LSTM/GRU. (k2-fsa#139)

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Commits on Nov 17, 2021

• New label smoothing (k2-fsa#109)

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Commits on Oct 18, 2021

• Add MMI training with word pieces as modelling unit. (k2-fsa#6)

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• Extract framewise alignment information using CTC decoding (k2-fsa#39)

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Commits on Oct 14, 2021

• Test pre-trained model in CI (k2-fsa#80)

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Commits on Sep 20, 2021

• Refactor decode.py to make it more readable and more modular. (k2-fsa#44)

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Commits on Sep 17, 2021

• Fix decode.py to remove the correct axis. (k2-fsa#50)

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Commits on Sep 14, 2021

• update api for RaggedTensor (k2-fsa#45)

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Commits on Sep 13, 2021

• Change default value of lattice-score-scale from 1.0 to 0.5 (k2-fsa#41)

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Commits on Sep 8, 2021

• Use new APIs with k2.RaggedTensor (k2-fsa#38)

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Commits on Aug 25, 2021

• Add documentation about code style and creating new recipes. (k2-fsa#27)

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Commits on Aug 23, 2021

• [yesno] Remove padding in TDNN (k2-fsa#21)

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• Add recipe for the yes_no dataset. (k2-fsa#16)

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• Fix code style and add copyright. (k2-fsa#18)

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  pkufool

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Commits on Jul 25, 2021

• Add LM rescoring.

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Commits on Jul 24, 2021

• Refactor decoding code.

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• begin to add LM rescoring.

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• Fix CI test errors.

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• Fix CI.

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• Fix CI dependencies installation.

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• Add CI test.

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Commits on Jul 15, 2021

• Remove mypy.

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• Add style check tools.

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