fix more typos (#1340)

* fix more typos

* fix typo

* fix typo

* fix typo

docs/source/recipes/Non-streaming-ASR/aishell/conformer_ctc.rst

@@ -67,7 +67,7 @@ To run stage 2 to stage 5, use:
 .. HINT::
 
   A 3-gram language model will be downloaded from huggingface, we assume you have
-  intalled and initialized ``git-lfs``. If not, you could install ``git-lfs`` by
+  installed and initialized ``git-lfs``. If not, you could install ``git-lfs`` by
 
   .. code-block:: bash
 

docs/source/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.rst

@@ -67,7 +67,7 @@ To run stage 2 to stage 5, use:
 .. HINT::
 
   A 3-gram language model will be downloaded from huggingface, we assume you have
-  intalled and initialized ``git-lfs``. If not, you could install ``git-lfs`` by
+  installed and initialized ``git-lfs``. If not, you could install ``git-lfs`` by
 
   .. code-block:: bash
 

docs/source/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.rst

@@ -418,7 +418,7 @@ The following shows two examples (for 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

docs/source/recipes/RNN-LM/librispeech/lm-training.rst

@@ -1,6 +1,6 @@
 .. _train_nnlm:
 
-Train an RNN langugage model
+Train an RNN language model
 ======================================
 
 If you have enough text data, you can train a neural network language model (NNLM) to improve