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[doc] Fix typos. (#31)

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Fangjun Kuang 2021-09-02 07:12:37 +08:00 committed by GitHub
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8
docs/source/recipes/librispeech/conformer_ctc.rst
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@ -303,7 +303,7 @@ The commonly used options are:
- ``--lattice-score-scale`` - ``--lattice-score-scale``
It is used to scaled down lattice scores so that we can more unique It is used to scale down lattice scores so that there are more unique
paths for rescoring. paths for rescoring.
- ``--max-duration`` - ``--max-duration``
@ -314,7 +314,7 @@ The commonly used options are:
Pre-trained Model Pre-trained Model
----------------- -----------------
We have uploaded the pre-trained model to We have uploaded a pre-trained model to
`<https://huggingface.co/pkufool/icefall_asr_librispeech_conformer_ctc>`_. `<https://huggingface.co/pkufool/icefall_asr_librispeech_conformer_ctc>`_.
We describe how to use the pre-trained model to transcribe a sound file or We describe how to use the pre-trained model to transcribe a sound file or
@ -324,7 +324,7 @@ Install kaldifeat
~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~
`kaldifeat <https://github.com/csukuangfj/kaldifeat>`_ is used to `kaldifeat <https://github.com/csukuangfj/kaldifeat>`_ is used to
extract features for a single sound file or multiple soundfiles extract features for a single sound file or multiple sound files
at the same time. at the same time.
Please refer to `<https://github.com/csukuangfj/kaldifeat>`_ for installation. Please refer to `<https://github.com/csukuangfj/kaldifeat>`_ for installation.
@ -397,7 +397,7 @@ After downloading, you will have the following files:
- ``data/lm/G_4_gram.pt`` - ``data/lm/G_4_gram.pt``
It is a 4-gram LM, useful for LM rescoring. It is a 4-gram LM, used for n-gram LM rescoring.
- ``exp/pretrained.pt`` - ``exp/pretrained.pt``