Update notebook (#2391)

Signed-off-by: smajumdar <[email protected]>

tutorials/asr/10_ASR_CTC_Language_Finetuning.ipynb

@@ -39,7 +39,7 @@
         "!pip install matplotlib>=3.3.2\n",
         "\n",
         "## Install NeMo\n",
-        "BRANCH = \"r1.0.2\"\n",
+        "BRANCH = \"r1.1.0\"\n",
         "!python -m pip install git+https://github.com/NVIDIA/NeMo.git@$BRANCH#egg=nemo_toolkit[all]\n",
         "\n",
         "\"\"\"\n",
@@ -899,7 +899,7 @@
         "\n",
         "------\n",
         "\n",
-        "It is also important to note that if the language remains the same, and some specific domain of text must be targetted for ASR, it is often easier to add a domain-specific language model to guide the generic ASR model than to attempt fine-tuning a full ASR model on limited data from that specific domain. "
+        "It is also important to note that if the language remains the same, and some specific domain of text must be adapted for ASR, it is often easier to add a domain-specific language model to guide the generic ASR model than to attempt fine-tuning a full ASR model on limited data from that specific domain. "
       ]
     },
     {
@@ -1135,7 +1135,7 @@
         "id": "Waz64_NXfkIQ"
       },
       "source": [
-        "### Settng up augmentation\n",
+        "### Setting up augmentation\n",
         "\n",
         "Remember that the model was trained on several thousands of hours of data, so the regularization provided to it might not suit the current dataset. We can easily change it as we see fit.\n",
         "\n",
@@ -1778,7 +1778,7 @@
         "id": "t2iOQlFfs2Ig"
       },
       "source": [
-        "### Analyse dataset outliers\n",
+        "### Examine dataset outliers\n",
         "\n",
         "In general, there are minor differences between the Character encoding and Sub-word encoding models. Since sub-words can encode larger sequence of tokens into a single subword, they substantially reduce the target sequence length.\n",
         "\n",