Fix doc URLs (#1660)

README.md

@@ -16,12 +16,12 @@ Please refer to [document](https://k2-fsa.github.io/icefall/huggingface/spaces.h
 
 # Installation
 
-Please refer to [document](https://icefall.readthedocs.io/en/latest/installation/index.html)
+Please refer to [document](https://k2-fsa.github.io/icefall/installation/index.html)
 for installation.
 
 # Recipes
 
-Please refer to [document](https://icefall.readthedocs.io/en/latest/recipes/index.html)
+Please refer to [document](https://k2-fsa.github.io/icefall/recipes/index.html)
 for more details.
 
 ## ASR: Automatic Speech Recognition
@@ -77,7 +77,7 @@ The [LibriSpeech][librispeech] recipe supports the most comprehensive set of mod
 #### Whisper
   - [OpenAi Whisper](https://arxiv.org/abs/2212.04356) (We support fine-tuning on AiShell-1.)
 
-If you are willing to contribute to icefall, please refer to [contributing](https://icefall.readthedocs.io/en/latest/contributing/index.html) for more details.
+If you are willing to contribute to icefall, please refer to [contributing](https://k2-fsa.github.io/icefall/contributing/index.html) for more details.
 
 We would like to highlight the performance of some of the recipes here.
 
@@ -343,7 +343,12 @@ We provide a Colab notebook to test the pre-trained model: [![Open In Colab](htt
 
 Once you have trained a model in icefall, you may want to deploy it with C++ without Python dependencies.
 
-Please refer to the [document](https://icefall.readthedocs.io/en/latest/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html#deployment-with-c)
+Please refer to
+
+  - https://k2-fsa.github.io/icefall/model-export/export-with-torch-jit-script.html
+  - https://k2-fsa.github.io/icefall/model-export/export-onnx.html
+  - https://k2-fsa.github.io/icefall/model-export/export-ncnn.html
+
 for how to do this.
 
 We also provide a Colab notebook, showing you how to run a torch scripted model in [k2][k2] with C++.

egs/aidatatang_200zh/ASR/README.md

@@ -6,7 +6,7 @@ The main repositories are list below, we will update the training and decoding s
 k2: https://github.com/k2-fsa/k2
 icefall: https://github.com/k2-fsa/icefall
 lhotse: https://github.com/lhotse-speech/lhotse
-* Install k2 and lhotse, k2 installation guide refers to https://k2.readthedocs.io/en/latest/installation/index.html, lhotse refers to https://lhotse.readthedocs.io/en/latest/getting-started.html#installation. I think the latest version would be ok. And please also install the requirements listed in icefall.
+* Install k2 and lhotse, k2 installation guide refers to https://k2-fsa.github.io/k2/installation/index.html, lhotse refers to https://lhotse.readthedocs.io/en/latest/getting-started.html#installation. I think the latest version would be ok. And please also install the requirements listed in icefall.
 * Clone icefall(https://github.com/k2-fsa/icefall) and check to the commit showed above.
 ```
 git clone https://github.com/k2-fsa/icefall

egs/aishell/ASR/tdnn_lstm_ctc/README.md

@@ -1,4 +1,4 @@
 
 Please visit
-<https://icefall.readthedocs.io/en/latest/recipes/aishell/tdnn_lstm_ctc.html>
+<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.html>
 for how to run this recipe.

egs/librispeech/ASR/README.md

@@ -1,6 +1,6 @@
 # Introduction
 
-Please refer to <https://icefall.readthedocs.io/en/latest/recipes/Non-streaming-ASR/librispeech/index.html> for how to run models in this recipe.
+Please refer to <https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/librispeech/index.html> for how to run models in this recipe.
 
 [./RESULTS.md](./RESULTS.md) contains the latest results.
 

egs/librispeech/ASR/conformer_ctc/README.md

@@ -1,7 +1,7 @@
 ## Introduction
 
 Please visit
-<https://icefall.readthedocs.io/en/latest/recipes/librispeech/conformer_ctc.html>
+<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html>
 for how to run this recipe.
 
 ## How to compute framewise alignment information
@@ -9,7 +9,7 @@ for how to run this recipe.
 ### Step 1: Train a model
 
 Please use `conformer_ctc/train.py` to train a model.
-See <https://icefall.readthedocs.io/en/latest/recipes/librispeech/conformer_ctc.html>
+See <https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html>
 for how to do it.
 
 ### Step 2: Compute framewise alignment

egs/timit/ASR/README.md

@@ -1,3 +1,3 @@
 
-Please refer to <https://icefall.readthedocs.io/en/latest/recipes/Non-streaming-ASR/timit/index.html>
+Please refer to <https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/timit/index.html>
 for how to run models in this recipe.

egs/yesno/ASR/README.md

@@ -10,5 +10,5 @@ get the following WER:
 ```
 
 Please refer to
-<https://icefall.readthedocs.io/en/latest/recipes/Non-streaming-ASR/yesno/index.html>
+<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/yesno/index.html>
 for detailed instructions.

egs/yesno/ASR/tdnn/README.md

@@ -2,7 +2,7 @@
 ## How to run this recipe
 
 You can find detailed instructions by visiting
-<https://icefall.readthedocs.io/en/latest/recipes/yesno.html>
+<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/yesno/index.html>
 
 It describes how to run this recipe and how to use
 a pre-trained model with `./pretrained.py`.