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Fix typo

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pkufool 2021-08-24 20:58:36 +08:00
parent 08ec88185f
commit 88bb4046af
1 changed files with 4 additions and 21 deletions
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25
docs/source/recipes/librispeech/tdnn_lstm_ctc.rst
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@ -1,5 +1,5 @@
TDNN-LSTM-CTC
=====
=============
This tutorial shows you how to run a TDNN-LSTM-CTC model with the `LibriSpeech <https://www.openslr.org/12>`_ dataset.
@ -34,7 +34,7 @@ For example,
.. code-block:: bash
$ cd egs/yesno/ASR
$ cd egs/librispeech/ASR
$ ./prepare.sh --stage 0 --stop-stage 0
means to run only stage 0.
@ -85,23 +85,6 @@ In ``tdnn_lstm_ctc/exp``, you will find the following files:
$ cd tdnn_lstm_ctc/exp/tensorboard
$ tensorboard dev upload --logdir . --description "TDNN LSTM training for librispeech with icefall"
It will print something like below:
.. code-block::
TensorFlow installation not found - running with reduced feature set.
Upload started and will continue reading any new data as it's added to the logdir.
To stop uploading, press Ctrl-C.
New experiment created. View your TensorBoard at: https://tensorboard.dev/experiment/yKUbhb5wRmOSXYkId1z9eg/
[2021-08-23T23:49:41] Started scanning logdir.
[2021-08-23T23:49:42] Total uploaded: 135 scalars, 0 tensors, 0 binary objects
Listening for new data in logdir...
Note there is a URL in the above output, click it and you will see tensorboard page:
- ``log/log-train-xxxx``
It is the detailed training log in text format, same as the one
@ -172,7 +155,7 @@ Some commonly used options are:
.. HINT::
There are several decoding method provided in `tdnn_lstm_ctc/decode.py <https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/tdnn_lstm_ctc/train.py>`_, you can change the decoding method by modifying ``method`` parameter in function ``get_params()``.
There are several decoding methods provided in `tdnn_lstm_ctc/decode.py <https://github.com/k2-fsa/icefall/blob/master/egs/librispeech/ASR/tdnn_lstm_ctc/train.py>`_, you can change the decoding method by modifying ``method`` parameter in function ``get_params()``.
.. _tdnn_lstm_ctc use a pre-trained model:
@ -328,7 +311,7 @@ The decoding output is:
Colab notebook
--------------
We do provide a colab notebook for decoding with pre-trained model.
We provide a colab notebook for decoding with pre-trained model.
|librispeech tdnn_lstm_ctc colab notebook|