Update reference from master to main elsewhere (#1784)

Summary: Update fairseq reference from master to main elsewhere

Reviewed By: alexeib

Differential Revision: D30938472

fbshipit-source-id: 243b98550207f241c9d3265bf3d4060350aaf0a8
Co-authored-by: Diana Liskovich <dianaml@fb.com>

examples/libtorchaudio/speech_recognition/README.md

@@ -19,7 +19,7 @@ For building decoder, we borrow the pre-trained weights published by `fairseq` a
 ### 1.1. From `fairseq`
 
 For `fairseq` models, you can download pre-trained weights
-You can download a model from [`fairseq` repository](https://github.com/pytorch/fairseq/tree/master/examples/wav2vec). Here, we will use `Base / 960h` model. You also need to download [the letter dictionary file](https://github.com/pytorch/fairseq/tree/master/examples/wav2vec#evaluating-a-ctc-model).
+You can download a model from [`fairseq` repository](https://github.com/pytorch/fairseq/tree/main/examples/wav2vec). Here, we will use `Base / 960h` model. You also need to download [the letter dictionary file](https://github.com/pytorch/fairseq/tree/main/examples/wav2vec#evaluating-a-ctc-model).
 
 For the decoder part, we use [simple_ctc](https://github.com/mthrok/ctcdecode), which also supports TorchScript.
 

test/torchaudio_unittest/assets/wav2vec2/fairseq/generate_fairseq_model_config.py

@@ -2,7 +2,7 @@
 """Generate the conf JSON from fairseq pretrained weight file, that is consumed by unit tests
 
 Usage:
-1. Download pretrained parameters from https://github.com/pytorch/fairseq/tree/master/examples/wav2vec
+1. Download pretrained parameters from https://github.com/pytorch/fairseq/tree/main/examples/wav2vec
 2. Download the dict from https://dl.fbaipublicfiles.com/fairseq/wav2vec/dict.ltr.txt
    and put it in the same directory as parameter files.
 3. Run this script and save the resulting JSON configuration in assets directory.
@@ -56,7 +56,7 @@ def _parse_args():
         required=True,
         help=(
             'A point file from '
-            'https://github.com/pytorch/fairseq/tree/master/examples/wav2vec'
+            'https://github.com/pytorch/fairseq/tree/main/examples/wav2vec'
         )
     )
     parser.add_argument(