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icefall/egs/librispeech/ASR
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Fangjun Kuang 50d2281524
Add modified transducer loss for AIShell dataset (#219) 
* 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.
2022-03-02 16:02:38 +08:00
..
conformer_ctc
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
conformer_mmi
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
local
Begin to use multiple datasets in training (#213)
2022-02-21 15:27:27 +08:00
pruned_transducer_stateless
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
streaming_conformer_ctc
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
tdnn_lstm_ctc
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
transducer
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
transducer_lstm
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
transducer_stateless
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
transducer_stateless_multi_datasets
Update result for full libri + GigaSpeech using transducer_stateless. (#231)
2022-03-01 17:01:46 +08:00
prepare_giga_speech.sh
Begin to use multiple datasets in training (#213)
2022-02-21 15:27:27 +08:00
prepare.sh
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
README.md
Begin to use multiple datasets in training (#213)
2022-02-21 15:27:27 +08:00
RESULTS-100hours.md
Update result for full libri + GigaSpeech using transducer_stateless. (#231)
2022-03-01 17:01:46 +08:00
RESULTS.md
Update result for full libri + GigaSpeech using transducer_stateless. (#231)
2022-03-01 17:01:46 +08:00
shared
Refactoring (#4)
2021-08-04 14:53:02 +08:00

README.md

Introduction

Please refer to https://icefall.readthedocs.io/en/latest/recipes/librispeech.html for how to run models in this recipe.

Transducers

There are various folders containing the name transducer in this folder. The following table lists the differences among them.

Encoder Decoder Comment
transducer Conformer LSTM
transducer_stateless Conformer Embedding + Conv1d
transducer_lstm LSTM LSTM
transducer_stateless_multi_datasets Conformer Embedding + Conv1d Using data from GigaSpeech as extra training data

The decoder in transducer_stateless is modified from the paper Rnn-Transducer with Stateless Prediction Network. We place an additional Conv1d layer right after the input embedding layer.