fix typos (#1336)

* fix typo * fix typo * Update pruned_transducer_stateless.rst
k2-fsa · Oct 24, 2023 · 3fb9940 · 3fb9940
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diff --git a/docs/source/contributing/how-to-create-a-recipe.rst b/docs/source/contributing/how-to-create-a-recipe.rst
@@ -3,7 +3,7 @@ How to create a recipe
 
 .. HINT::
 
-  Please read :ref:`follow the code style` to adjust your code sytle.
+  Please read :ref:`follow the code style` to adjust your code style.
 
 .. CAUTION::
 

diff --git a/docs/source/recipes/Streaming-ASR/introduction.rst b/docs/source/recipes/Streaming-ASR/introduction.rst
@@ -32,7 +32,7 @@ In icefall, we implement the streaming conformer the way just like what `WeNet <
 .. HINT::
    If you want to modify a non-streaming conformer recipe to support both streaming and non-streaming, please refer
    to `this pull request <https://github.com/k2-fsa/icefall/pull/454>`_.  After adding the code needed by streaming training,
-   you have to re-train it with the extra arguments metioned in the docs above to get a streaming model.
+   you have to re-train it with the extra arguments mentioned in the docs above to get a streaming model.
 
 
 Streaming Emformer

diff --git a/docs/source/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.rst b/docs/source/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.rst
@@ -584,7 +584,7 @@ The following shows two examples (for the two types of checkpoints):
 
     - ``beam_search`` :  It implements Algorithm 1 in https://arxiv.org/pdf/1211.3711.pdf and
       `espnet/nets/beam_search_transducer.py <https://github.com/espnet/espnet/blob/master/espnet/nets/beam_search_transducer.py#L247>`_
-      is used as a reference. Basicly, it keeps topk states for each frame, and expands the kept states with their own contexts to
+      is used as a reference. Basically, it keeps topk states for each frame, and expands the kept states with their own contexts to
       next frame.
 
     - ``modified_beam_search`` : It implements the same algorithm as ``beam_search`` above, but it
@@ -648,7 +648,7 @@ command to extract ``model.state_dict()``.
 .. caution::
 
    ``--streaming-model`` and ``--causal-convolution`` require to be True to export
-   a streaming mdoel.
+   a streaming model.
 
 It will generate a file ``./pruned_transducer_stateless4/exp/pretrained.pt``.
 
@@ -697,7 +697,7 @@ Export model using ``torch.jit.script()``
 .. caution::
 
    ``--streaming-model`` and ``--causal-convolution`` require to be True to export
-   a streaming mdoel.
+   a streaming model.
 
 It will generate a file ``cpu_jit.pt`` in the given ``exp_dir``. You can later
 load it by ``torch.jit.load("cpu_jit.pt")``.