* Add modified beam search for pruned rnn-t.
* Fix style issues.
* Update RESULTS.md.
* Fix typos.
* Minor fixes.
* Test the pre-trained model using GitHub actions.
* Let the user install optimized_transducer on her own.
* Fix errors in GitHub CI.
* Add force alignment for stateless transducer.
* Add more documentation.
* Compute word starting time from framewise token alignment.
* Update README to include force alignment information.
* Fix typos.
* Fix more typos.
* Fixes after review.
* Adding diagnostics code...
* Move diagnostics code from local dir to the shared icefall dir
* Remove the diagnostics code in the local dir
* Update docs of arguments, and remove stats_types() function in TensorDiagnosticOptions object.
* Update docs of arguments.
* Add copyright information.
* Corrected the time in copyright information.
Co-authored-by: Daniel Povey <dpovey@gmail.com>
* Add modified transducer for aishell.
* Minor fixes.
* Add extra data in transducer training.
The extra data is from http://www.openslr.org/62/
* Update export.py and pretrained.py
* Update CI to install pretrained models with aishell.
* Update results.
* Update results.
* Update README.
* Use symlinks to avoid copies.
* Begin to use multiple datasets.
* Finish preparing training datasets.
* Minor fixes
* Copy files.
* Finish training code.
* Display losses for gigaspeech and librispeech separately.
* Fix decode.py
* Make the probability to select a batch from GigaSpeech configurable.
* Update results.
* Minor fixes.
* Disable weight decay.
* Remove input feature batchnorm..
* Replace BatchNorm in the Conformer model with LayerNorm.
* Use tanh in the joint network.
* Remove sos ID.
* Reduce the number of decoder layers from 4 to 2.
* Minor fixes.
* Fix typos.
* Begin to add RNN-T training for librispeech.
* Copy files from conformer_ctc.
Will edit it.
* Use conformer/transformer model as encoder.
* Begin to add training script.
* Add training code.
* Remove long utterances to avoid OOM when a large max_duraiton is used.
* Begin to add decoding script.
* Add decoding script.
* Minor fixes.
* Add beam search.
* Use LSTM layers for the encoder.
Need more tunings.
* Use stateless decoder.
* Minor fixes to make it ready for merge.
* Fix README.
* Update RESULT.md to include RNN-T Conformer.
* Minor fixes.
* Fix tests.
* Minor fixes.
* Minor fixes.
* Fix tests.
* Apply layer normalization to the output of each gate in LSTM.
* Apply layer normalization to the output of each gate in GRU.
* Add projection support to LayerNormLSTMCell.
* Add GPU tests.
* Use typeguard.check_argument_types() to validate type annotations.
* Add typeguard as a requirement.
* Minor fixes.
* Fix CI.
* Fix CI.
* Fix test failures for torch 1.8.0
* Fix errors.
