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Fix doc URLs (#1660)
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README.md
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README.md
@ -16,12 +16,12 @@ Please refer to [document](https://k2-fsa.github.io/icefall/huggingface/spaces.h
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# Installation
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Please refer to [document](https://icefall.readthedocs.io/en/latest/installation/index.html)
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Please refer to [document](https://k2-fsa.github.io/icefall/installation/index.html)
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for installation.
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# Recipes
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Please refer to [document](https://icefall.readthedocs.io/en/latest/recipes/index.html)
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Please refer to [document](https://k2-fsa.github.io/icefall/recipes/index.html)
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for more details.
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## ASR: Automatic Speech Recognition
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@ -77,7 +77,7 @@ The [LibriSpeech][librispeech] recipe supports the most comprehensive set of mod
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#### Whisper
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- [OpenAi Whisper](https://arxiv.org/abs/2212.04356) (We support fine-tuning on AiShell-1.)
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If you are willing to contribute to icefall, please refer to [contributing](https://icefall.readthedocs.io/en/latest/contributing/index.html) for more details.
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If you are willing to contribute to icefall, please refer to [contributing](https://k2-fsa.github.io/icefall/contributing/index.html) for more details.
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We would like to highlight the performance of some of the recipes here.
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@ -343,7 +343,12 @@ We provide a Colab notebook to test the pre-trained model: [
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Please refer to
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- https://k2-fsa.github.io/icefall/model-export/export-with-torch-jit-script.html
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- https://k2-fsa.github.io/icefall/model-export/export-onnx.html
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- https://k2-fsa.github.io/icefall/model-export/export-ncnn.html
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for how to do this.
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We also provide a Colab notebook, showing you how to run a torch scripted model in [k2][k2] with C++.
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@ -6,7 +6,7 @@ The main repositories are list below, we will update the training and decoding s
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k2: https://github.com/k2-fsa/k2
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icefall: https://github.com/k2-fsa/icefall
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lhotse: https://github.com/lhotse-speech/lhotse
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* 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.
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* 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.
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* Clone icefall(https://github.com/k2-fsa/icefall) and check to the commit showed above.
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```
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git clone https://github.com/k2-fsa/icefall
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@ -1,4 +1,4 @@
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Please visit
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<https://icefall.readthedocs.io/en/latest/recipes/aishell/tdnn_lstm_ctc.html>
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<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.html>
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for how to run this recipe.
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@ -1,6 +1,6 @@
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# Introduction
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Please refer to <https://icefall.readthedocs.io/en/latest/recipes/Non-streaming-ASR/librispeech/index.html> for how to run models in this recipe.
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Please refer to <https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/librispeech/index.html> for how to run models in this recipe.
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[./RESULTS.md](./RESULTS.md) contains the latest results.
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@ -1,7 +1,7 @@
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## Introduction
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Please visit
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<https://icefall.readthedocs.io/en/latest/recipes/librispeech/conformer_ctc.html>
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<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html>
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for how to run this recipe.
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## How to compute framewise alignment information
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@ -9,7 +9,7 @@ for how to run this recipe.
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### Step 1: Train a model
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Please use `conformer_ctc/train.py` to train a model.
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See <https://icefall.readthedocs.io/en/latest/recipes/librispeech/conformer_ctc.html>
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See <https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html>
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for how to do it.
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### Step 2: Compute framewise alignment
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@ -1,3 +1,3 @@
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Please refer to <https://icefall.readthedocs.io/en/latest/recipes/Non-streaming-ASR/timit/index.html>
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Please refer to <https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/timit/index.html>
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for how to run models in this recipe.
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@ -10,5 +10,5 @@ get the following WER:
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```
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Please refer to
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<https://icefall.readthedocs.io/en/latest/recipes/Non-streaming-ASR/yesno/index.html>
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<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/yesno/index.html>
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for detailed instructions.
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@ -2,7 +2,7 @@
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## How to run this recipe
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You can find detailed instructions by visiting
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<https://icefall.readthedocs.io/en/latest/recipes/yesno.html>
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<https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/yesno/index.html>
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It describes how to run this recipe and how to use
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a pre-trained model with `./pretrained.py`.
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