Add more CTC decoding WERs (#2161)

Summary:
additionally add decoding results for wav2vec2 large and also on the test-clean dataset

Pull Request resolved: https://github.com/pytorch/audio/pull/2161

Reviewed By: mthrok

Differential Revision: D33644670

Pulled By: carolineechen

fbshipit-source-id: a219a15af46f82a6bd90169bb3001dbad8f0a96e

examples/asr/librispeech_ctc_decoder/README.md

@@ -18,10 +18,11 @@ python inference.py \
 ```
 
 ## Results
-The table below contains WER results for various pretrained models on the LibriSpeech test-other split, using a beam size of 1500, and language model weight and word insertion scores taken from Table 7 of [wav2vec 2.0](https://arxiv.org/pdf/2006.11477.pdf).
+The table below contains WER results for various pretrained models on LibriSpeech, using a beam size of 1500, and language model weight and word insertion scores taken from Table 7 of [wav2vec 2.0](https://arxiv.org/pdf/2006.11477.pdf).
 
-|                                                                                          Model |     WER |
-|:----------------------------------------------------------------------------------------------:|--------:|
-| [WAV2VEC2_ASR_BASE_10M](https://pytorch.org/audio/main/pipelines.html#wav2vec2-asr-base-10m)   |   0.1591|
-| [WAV2VEC2_ASR_BASE_100H](https://pytorch.org/audio/main/pipelines.html#wav2vec2-asr-base-100h) |   0.0807|
-| [WAV2VEC2_ASR_BASE_960H](https://pytorch.org/audio/main/pipelines.html#wav2vec2-asr-base-960h) |   0.0615|
+|                                                                                            Model | test-clean | test-other |
+|:------------------------------------------------------------------------------------------------:|-----------:|-----------:|
+| [WAV2VEC2_ASR_BASE_10M](https://pytorch.org/audio/main/pipelines.html#wav2vec2-asr-base-10m)     |        9.35|       15.91|
+| [WAV2VEC2_ASR_BASE_100H](https://pytorch.org/audio/main/pipelines.html#wav2vec2-asr-base-100h)   |        3.42|        8.07|
+| [WAV2VEC2_ASR_BASE_960H](https://pytorch.org/audio/main/pipelines.html#wav2vec2-asr-base-960h)   |        2.61|        6.15|
+| [WAV2VEC2_ASR_LARGE_960H](https://pytorch.org/audio/main/pipelines.html#wav2vec2-asr-large-960h) |        2.34|        4.98|