diff --git a/examples/pytorch/README.md b/examples/pytorch/README.md
index 7cbf7edc957..424962e11d8 100644
--- a/examples/pytorch/README.md
+++ b/examples/pytorch/README.md
@@ -40,6 +40,8 @@ Coming soon!
 | [**`text-generation`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/text-generation) | - | n/a | - | - | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/02_how_to_generate.ipynb)
 | [**`token-classification`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/token-classification) | CoNLL NER | ✅ |✅ | ✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/token_classification.ipynb)
 | [**`translation`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/translation) | WMT | ✅ | ✅ |✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/translation.ipynb)
+| [**`speech-recognition`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/speech-recognition) | TIMIT | ✅ | - |✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/speech_recognition.ipynb)
+| [**`multi-lingual speech-recognition`**](https://github.com/huggingface/transformers/tree/master/examples/pytorch/speech-recognition) | Common Voice | ✅ | - |✅ | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)
 
 
 ## Running quick tests
diff --git a/notebooks/README.md b/notebooks/README.md
index a1a6c946df2..567437a6a1c 100644
--- a/notebooks/README.md
+++ b/notebooks/README.md
@@ -52,6 +52,8 @@ You can open any page of the documentation as a notebook in colab (there is a bu
 | [How to fine-tune a model on multiple choice](https://github.com/huggingface/notebooks/blob/master/examples/multiple_choice.ipynb) | Show how to preprocess the data and fine-tune a pretrained model on SWAG. | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/multiple_choice.ipynb)|
 | [How to fine-tune a model on translation](https://github.com/huggingface/notebooks/blob/master/examples/translation.ipynb) | Show how to preprocess the data and fine-tune a pretrained model on WMT. | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/translation.ipynb)|
 | [How to fine-tune a model on summarization](https://github.com/huggingface/notebooks/blob/master/examples/summarization.ipynb) | Show how to preprocess the data and fine-tune a pretrained model on XSUM. | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/summarization.ipynb)|
+| [How to fine-tune a speech recognition model in English](https://github.com/huggingface/notebooks/blob/master/examples/speech_recognition.ipynb)| Show how to preprocess the data and fine-tune a pretrained Speech model on TIMIT | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/speech_recognition.ipynb)|
+| [How to fine-tune a speech recognition in any language](https://github.com/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)| Show how to preprocess the data and fine-tune a multi-lingually pretrained speech model on Common Voice | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/multi_lingual_speech_recognition.ipynb)|
 | [How to train a language model from scratch](https://github.com/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)| Highlight all the steps to effectively train Transformer model on custom data | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/01_how_to_train.ipynb)|
 | [How to generate text](https://github.com/huggingface/blog/blob/master/notebooks/02_how_to_generate.ipynb)| How to use different decoding methods for language generation with transformers | [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/huggingface/blog/blob/master/notebooks/02_how_to_generate.ipynb)|
 | [How to export model to ONNX](https://github.com/huggingface/notebooks/blob/master/examples/onnx-export.ipynb) | Highlight how to export and run inference workloads through ONNX |