diff --git a/_images/docker-hub.png b/_images/docker-hub.png new file mode 100644 index 000000000..a9e7715b0 Binary files /dev/null and b/_images/docker-hub.png differ diff --git a/_sources/docker/index.rst.txt b/_sources/docker/index.rst.txt new file mode 100644 index 000000000..2c92a4cbc --- /dev/null +++ b/_sources/docker/index.rst.txt @@ -0,0 +1,17 @@ +.. _icefall_docker: + +Docker +====== + +This section describes how to use pre-built docker images to run `icefall`_. + +.. hint:: + + If you only have CPUs available, you can still use the pre-built docker + images. + +.. toctree:: + :maxdepth: 2 + + ./intro.rst + diff --git a/_sources/docker/intro.rst.txt b/_sources/docker/intro.rst.txt new file mode 100644 index 000000000..b09247d85 --- /dev/null +++ b/_sources/docker/intro.rst.txt @@ -0,0 +1,171 @@ +Introduction +============= + +We have pre-built docker images hosted at the following address: + + ``_ + +.. figure:: img/docker-hub.png + :width: 600 + :align: center + +You can find the ``Dockerfile`` at ``_. + +We describe the following items in this section: + + - How to view available tags + - How to download pre-built docker images + - How to run the `yesno`_ recipe within a docker container on ``CPU`` + +View available tags +=================== + +You can use the following command to view available tags: + +.. code-block:: bash + + curl -s 'https://registry.hub.docker.com/v2/repositories/k2fsa/icefall/tags/'|jq '."results"[]["name"]' + +which will give you something like below: + +.. code-block:: bash + + "torch2.0.0-cuda11.7" + "torch1.12.1-cuda11.3" + "torch1.9.0-cuda10.2" + "torch1.13.0-cuda11.6" + +.. hint:: + + Available tags will be updated when there are new releases of `torch`_. + +Please select an appropriate combination of `torch`_ and CUDA. + +Download a docker image +======================= + +Suppose that you select the tag ``torch1.13.0-cuda11.6``, you can use +the following command to download it: + +.. code-block:: bash + + sudo docker image pull k2fsa/icefall:torch1.13.0-cuda11.6 + +Run a docker image with GPU +=========================== + +.. code-block:: bash + + sudo docker run --gpus all --rm -it k2fsa/icefall:torch1.13.0-cuda11.6 /bin/bash + +Run a docker image with CPU +=========================== + +.. code-block:: bash + + sudo docker run --rm -it k2fsa/icefall:torch1.13.0-cuda11.6 /bin/bash + +Run yesno within a docker container +=================================== + +After starting the container, the following interface is presented: + +.. code-block:: bash + + root@60c947eac59c:/workspace/icefall# + +It shows the current user is ``root`` and the current working directory +is ``/workspace/icefall``. + +Update the code +--------------- + +Please first run: + +.. code-block:: bash + + root@60c947eac59c:/workspace/icefall# git pull + +so that your local copy contains the latest code. + +Data preparation +---------------- + +Now we can use + +.. code-block:: bash + + root@60c947eac59c:/workspace/icefall# cd egs/yesno/ASR/ + +to switch to the ``yesno`` recipe and run + +.. code-block:: bash + + root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ./prepare.sh + +.. hint:: + + If you are running without GPU, it may report the following error: + + .. code-block:: bash + + File "/opt/conda/lib/python3.9/site-packages/k2/__init__.py", line 23, in + from _k2 import DeterminizeWeightPushingType + ImportError: libcuda.so.1: cannot open shared object file: No such file or directory + + We can use the following command to fix it: + + .. code-block:: bash + + root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ln -s /opt/conda/lib/stubs/libcuda.so /opt/conda/lib/stubs/libcuda.so.1 + +The logs of running ``./prepare.sh`` are listed below: + +.. literalinclude:: ./log/log-preparation.txt + +Training +-------- + +After preparing the data, we can start training with the following command + +.. code-block:: bash + + root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ./tdnn/train.py + +All of the training logs are given below: + +.. hint:: + + It is running on CPU and it takes only 16 seconds for this run. + +.. literalinclude:: ./log/log-train-2023-08-01-01-55-27 + + +Decoding +-------- + +After training, we can decode the trained model with + +.. code-block:: bash + + root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ./tdnn/decode.py + +The decoding logs are given below: + +.. code-block:: bash + + 2023-08-01 02:06:22,400 INFO [decode.py:263] Decoding started + 2023-08-01 02:06:22,400 INFO [decode.py:264] {'exp_dir': PosixPath('tdnn/exp'), 'lang_dir': PosixPath('data/lang_phone'), 'lm_dir': PosixPath('data/lm'), 'feature_dim': 23, 'search_beam': 20, 'output_beam': 8, 'min_active_states': 30, 'max_active_states': 10000, 'use_double_scores': True, 'epoch': 14, 'avg': 2, 'export': False, 'feature_dir': PosixPath('data/fbank'), 'max_duration': 30.0, 'bucketing_sampler': False, 'num_buckets': 10, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': False, 'return_cuts': True, 'num_workers': 2, 'env_info': {'k2-version': '1.24.3', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '4c05309499a08454997adf500b56dcc629e35ae5', 'k2-git-date': 'Tue Jul 25 16:23:36 2023', 'lhotse-version': '1.16.0.dev+git.7640d663.clean', 'torch-version': '1.13.0', 'torch-cuda-available': False, 'torch-cuda-version': '11.6', 'python-version': '3.9', 'icefall-git-branch': 'master', 'icefall-git-sha1': '375520d-clean', 'icefall-git-date': 'Fri Jul 28 07:43:08 2023', 'icefall-path': '/workspace/icefall', 'k2-path': '/opt/conda/lib/python3.9/site-packages/k2/__init__.py', 'lhotse-path': '/opt/conda/lib/python3.9/site-packages/lhotse/__init__.py', 'hostname': '60c947eac59c', 'IP address': '172.17.0.2'}} + 2023-08-01 02:06:22,401 INFO [lexicon.py:168] Loading pre-compiled data/lang_phone/Linv.pt + 2023-08-01 02:06:22,403 INFO [decode.py:273] device: cpu + 2023-08-01 02:06:22,406 INFO [decode.py:291] averaging ['tdnn/exp/epoch-13.pt', 'tdnn/exp/epoch-14.pt'] + 2023-08-01 02:06:22,424 INFO [asr_datamodule.py:218] About to get test cuts + 2023-08-01 02:06:22,425 INFO [asr_datamodule.py:252] About to get test cuts + 2023-08-01 02:06:22,504 INFO [decode.py:204] batch 0/?, cuts processed until now is 4 + [W NNPACK.cpp:53] Could not initialize NNPACK! Reason: Unsupported hardware. + 2023-08-01 02:06:22,687 INFO [decode.py:241] The transcripts are stored in tdnn/exp/recogs-test_set.txt + 2023-08-01 02:06:22,688 INFO [utils.py:564] [test_set] %WER 0.42% [1 / 240, 0 ins, 1 del, 0 sub ] + 2023-08-01 02:06:22,690 INFO [decode.py:249] Wrote detailed error stats to tdnn/exp/errs-test_set.txt + 2023-08-01 02:06:22,690 INFO [decode.py:316] Done! + +Congratulations! You have finished successfully running `icefall`_ within a docker container. diff --git a/_sources/index.rst.txt b/_sources/index.rst.txt index a7d365a15..0fa8fdd1c 100644 --- a/_sources/index.rst.txt +++ b/_sources/index.rst.txt @@ -21,9 +21,11 @@ speech recognition recipes using `k2 `_. :caption: Contents: installation/index + docker/index faqs model-export/index + .. toctree:: :maxdepth: 3 @@ -38,4 +40,4 @@ speech recognition recipes using `k2 `_. .. toctree:: :maxdepth: 2 - decoding-with-langugage-models/index \ No newline at end of file + decoding-with-langugage-models/index diff --git a/_sources/installation/index.rst.txt b/_sources/installation/index.rst.txt index 534b674f9..5a034ef5b 100644 --- a/_sources/installation/index.rst.txt +++ b/_sources/installation/index.rst.txt @@ -3,6 +3,11 @@ Installation ============ +.. hint:: + + We also provide :ref:`icefall_docker` support, which has already setup + the environment for you. + .. hint:: We have a colab notebook guiding you step by step to setup the environment. diff --git a/contributing/code-style.html b/contributing/code-style.html index 0e54abcab..603669e06 100644 --- a/contributing/code-style.html +++ b/contributing/code-style.html @@ -45,6 +45,7 @@

Contents:

diff --git a/contributing/doc.html b/contributing/doc.html index c08322d68..e67616dcf 100644 --- a/contributing/doc.html +++ b/contributing/doc.html @@ -45,6 +45,7 @@

Contents:

diff --git a/contributing/how-to-create-a-recipe.html b/contributing/how-to-create-a-recipe.html index b2325ad10..926ff92e5 100644 --- a/contributing/how-to-create-a-recipe.html +++ b/contributing/how-to-create-a-recipe.html @@ -45,6 +45,7 @@

Contents:

diff --git a/contributing/index.html b/contributing/index.html index 1f9b31e3a..7b3ab0879 100644 --- a/contributing/index.html +++ b/contributing/index.html @@ -45,6 +45,7 @@

Contents:

diff --git a/decoding-with-langugage-models/LODR.html b/decoding-with-langugage-models/LODR.html index d5f6b76e4..b9685eaab 100644 --- a/decoding-with-langugage-models/LODR.html +++ b/decoding-with-langugage-models/LODR.html @@ -46,6 +46,7 @@

Contents:

diff --git a/decoding-with-langugage-models/index.html b/decoding-with-langugage-models/index.html index 94bfb5c8f..3482a6238 100644 --- a/decoding-with-langugage-models/index.html +++ b/decoding-with-langugage-models/index.html @@ -45,6 +45,7 @@

Contents:

diff --git a/decoding-with-langugage-models/rescoring.html b/decoding-with-langugage-models/rescoring.html index 0fdbccb63..d70add22f 100644 --- a/decoding-with-langugage-models/rescoring.html +++ b/decoding-with-langugage-models/rescoring.html @@ -44,6 +44,7 @@

Contents:

diff --git a/decoding-with-langugage-models/shallow-fusion.html b/decoding-with-langugage-models/shallow-fusion.html index 1f674c259..7c6f33b57 100644 --- a/decoding-with-langugage-models/shallow-fusion.html +++ b/decoding-with-langugage-models/shallow-fusion.html @@ -45,6 +45,7 @@

Contents:

diff --git a/docker/index.html b/docker/index.html new file mode 100644 index 000000000..a4a1f227f --- /dev/null +++ b/docker/index.html @@ -0,0 +1,152 @@ + + + + + + + Docker — icefall 0.1 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Docker

+

This section describes how to use pre-built docker images to run icefall.

+
+

Hint

+

If you only have CPUs available, you can still use the pre-built docker +images.

+
+
+ +
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/docker/intro.html b/docker/intro.html new file mode 100644 index 000000000..4b7303409 --- /dev/null +++ b/docker/intro.html @@ -0,0 +1,276 @@ + + + + + + + Introduction — icefall 0.1 documentation + + + + + + + + + + + + + + + + + +
+ + +
+ +
+
+
+ +
+
+
+
+ +
+

Introduction

+

We have pre-built docker images hosted at the following address:

+
+
+
+../_images/docker-hub.png +
+

You can find the Dockerfile at https://github.com/k2-fsa/icefall/tree/master/docker.

+

We describe the following items in this section:

+
+
    +

  • How to view available tags

    • +

  • How to download pre-built docker images

    • +

  • How to run the yesno recipe within a docker container on CPU

    • +
+
+
+
+

View available tags

+

You can use the following command to view available tags:

+
curl -s 'https://registry.hub.docker.com/v2/repositories/k2fsa/icefall/tags/'|jq '."results"[]["name"]'
+
+
+

which will give you something like below:

+
"torch2.0.0-cuda11.7"
+"torch1.12.1-cuda11.3"
+"torch1.9.0-cuda10.2"
+"torch1.13.0-cuda11.6"
+
+
+
+

Hint

+

Available tags will be updated when there are new releases of torch.

+
+

Please select an appropriate combination of torch and CUDA.

+
+
+

Download a docker image

+

Suppose that you select the tag torch1.13.0-cuda11.6, you can use +the following command to download it:

+
sudo docker image pull k2fsa/icefall:torch1.13.0-cuda11.6
+
+
+
+
+

Run a docker image with GPU

+
sudo docker run --gpus all --rm -it k2fsa/icefall:torch1.13.0-cuda11.6 /bin/bash
+
+
+
+
+

Run a docker image with CPU

+
sudo docker run --rm -it k2fsa/icefall:torch1.13.0-cuda11.6 /bin/bash
+
+
+
+
+

Run yesno within a docker container

+

After starting the container, the following interface is presented:

+
root@60c947eac59c:/workspace/icefall#
+
+
+

It shows the current user is root and the current working directory +is /workspace/icefall.

+
+

Update the code

+

Please first run:

+
root@60c947eac59c:/workspace/icefall# git pull
+
+
+

so that your local copy contains the latest code.

+
+
+

Data preparation

+

Now we can use

+
root@60c947eac59c:/workspace/icefall# cd egs/yesno/ASR/
+
+
+

to switch to the yesno recipe and run

+
root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ./prepare.sh
+
+
+
+

Hint

+
+

If you are running without GPU, it may report the following error:

+
+
File "/opt/conda/lib/python3.9/site-packages/k2/__init__.py", line 23, in <module>
+  from _k2 import DeterminizeWeightPushingType
+ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
+
+
+
+
+

We can use the following command to fix it:

+
+
root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ln -s /opt/conda/lib/stubs/libcuda.so /opt/conda/lib/stubs/libcuda.so.1
+
+
+
+
+

The logs of running ./prepare.sh are listed below:

+
+
+

Training

+

After preparing the data, we can start training with the following command

+
root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ./tdnn/train.py
+
+
+

All of the training logs are given below:

+
+

Hint

+

It is running on CPU and it takes only 16 seconds for this run.

+
+
+
+

Decoding

+

After training, we can decode the trained model with

+
root@60c947eac59c:/workspace/icefall/egs/yesno/ASR# ./tdnn/decode.py
+
+
+

The decoding logs are given below:

+
2023-08-01 02:06:22,400 INFO [decode.py:263] Decoding started
+2023-08-01 02:06:22,400 INFO [decode.py:264] {'exp_dir': PosixPath('tdnn/exp'), 'lang_dir': PosixPath('data/lang_phone'), 'lm_dir': PosixPath('data/lm'), 'feature_dim': 23, 'search_beam': 20, 'output_beam': 8, 'min_active_states': 30, 'max_active_states': 10000, 'use_double_scores': True, 'epoch': 14, 'avg': 2, 'export': False, 'feature_dir': PosixPath('data/fbank'), 'max_duration': 30.0, 'bucketing_sampler': False, 'num_buckets': 10, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': False, 'return_cuts': True, 'num_workers': 2, 'env_info': {'k2-version': '1.24.3', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '4c05309499a08454997adf500b56dcc629e35ae5', 'k2-git-date': 'Tue Jul 25 16:23:36 2023', 'lhotse-version': '1.16.0.dev+git.7640d663.clean', 'torch-version': '1.13.0', 'torch-cuda-available': False, 'torch-cuda-version': '11.6', 'python-version': '3.9', 'icefall-git-branch': 'master', 'icefall-git-sha1': '375520d-clean', 'icefall-git-date': 'Fri Jul 28 07:43:08 2023', 'icefall-path': '/workspace/icefall', 'k2-path': '/opt/conda/lib/python3.9/site-packages/k2/__init__.py', 'lhotse-path': '/opt/conda/lib/python3.9/site-packages/lhotse/__init__.py', 'hostname': '60c947eac59c', 'IP address': '172.17.0.2'}}
+2023-08-01 02:06:22,401 INFO [lexicon.py:168] Loading pre-compiled data/lang_phone/Linv.pt
+2023-08-01 02:06:22,403 INFO [decode.py:273] device: cpu
+2023-08-01 02:06:22,406 INFO [decode.py:291] averaging ['tdnn/exp/epoch-13.pt', 'tdnn/exp/epoch-14.pt']
+2023-08-01 02:06:22,424 INFO [asr_datamodule.py:218] About to get test cuts
+2023-08-01 02:06:22,425 INFO [asr_datamodule.py:252] About to get test cuts
+2023-08-01 02:06:22,504 INFO [decode.py:204] batch 0/?, cuts processed until now is 4
+[W NNPACK.cpp:53] Could not initialize NNPACK! Reason: Unsupported hardware.
+2023-08-01 02:06:22,687 INFO [decode.py:241] The transcripts are stored in tdnn/exp/recogs-test_set.txt
+2023-08-01 02:06:22,688 INFO [utils.py:564] [test_set] %WER 0.42% [1 / 240, 0 ins, 1 del, 0 sub ]
+2023-08-01 02:06:22,690 INFO [decode.py:249] Wrote detailed error stats to tdnn/exp/errs-test_set.txt
+2023-08-01 02:06:22,690 INFO [decode.py:316] Done!
+
+
+

Congratulations! You have finished successfully running icefall within a docker container.

+
+
+ + +
+
+ +
+
+
+
+ + + + \ No newline at end of file diff --git a/faqs.html b/faqs.html index ffe125679..56efdd400 100644 --- a/faqs.html +++ b/faqs.html @@ -20,7 +20,7 @@ - + @@ -45,6 +45,7 @@

Contents:

@@ -110,6 +111,11 @@

Installation

Hint

+

We also provide Docker support, which has already setup +the environment for you.

+
+
+

Hint

We have a colab notebook guiding you step by step to setup the environment.

yesno colab notebook

@@ -618,7 +624,7 @@ the following YouTube channel by - +
diff --git a/model-export/export-model-state-dict.html b/model-export/export-model-state-dict.html index 0ee2fa000..01a307581 100644 --- a/model-export/export-model-state-dict.html +++ b/model-export/export-model-state-dict.html @@ -45,6 +45,7 @@

Contents:

  • Installation
    • +
  • Docker
  • Frequently Asked Questions (FAQs)
  • Model export
    • Export model.state_dict()
        diff --git a/model-export/export-ncnn-conv-emformer.html b/model-export/export-ncnn-conv-emformer.html index f0521d694..69ee83fee 100644 --- a/model-export/export-ncnn-conv-emformer.html +++ b/model-export/export-ncnn-conv-emformer.html @@ -45,6 +45,7 @@

        Contents:

        • Installation
          • +
        • Docker
        • Frequently Asked Questions (FAQs)
        • Model export
          • Export model.state_dict()
            • diff --git a/model-export/export-ncnn-lstm.html b/model-export/export-ncnn-lstm.html index 4b3392faa..77305f39e 100644 --- a/model-export/export-ncnn-lstm.html +++ b/model-export/export-ncnn-lstm.html @@ -45,6 +45,7 @@

            Contents:

            • Installation
              • +
            • Docker
            • Frequently Asked Questions (FAQs)
            • Model export
              • Export model.state_dict()
                • diff --git a/model-export/export-ncnn-zipformer.html b/model-export/export-ncnn-zipformer.html index 45fa51fac..3e817fea6 100644 --- a/model-export/export-ncnn-zipformer.html +++ b/model-export/export-ncnn-zipformer.html @@ -45,6 +45,7 @@

                Contents:

                • Installation
                  • +
                • Docker
                • Frequently Asked Questions (FAQs)
                • Model export
                  • Export model.state_dict()
                    • diff --git a/model-export/export-ncnn.html b/model-export/export-ncnn.html index 583f82e95..c4d99bb47 100644 --- a/model-export/export-ncnn.html +++ b/model-export/export-ncnn.html @@ -45,6 +45,7 @@

                    Contents:

                    • Installation
                      • +
                    • Docker
                    • Frequently Asked Questions (FAQs)
                    • Model export
                      • Export model.state_dict()
                        • diff --git a/model-export/export-onnx.html b/model-export/export-onnx.html index b52c539a2..cba79d573 100644 --- a/model-export/export-onnx.html +++ b/model-export/export-onnx.html @@ -45,6 +45,7 @@

                        Contents:

                        • Installation
                          • +
                        • Docker
                        • Frequently Asked Questions (FAQs)
                        • Model export
                          • Export model.state_dict()
                            • diff --git a/model-export/export-with-torch-jit-script.html b/model-export/export-with-torch-jit-script.html index 5f46f9ee1..d3b0dda79 100644 --- a/model-export/export-with-torch-jit-script.html +++ b/model-export/export-with-torch-jit-script.html @@ -45,6 +45,7 @@

                            Contents:

                            • Installation
                              • +
                            • Docker
                            • Frequently Asked Questions (FAQs)
                            • Model export
                              • Export model.state_dict()
                                • diff --git a/model-export/export-with-torch-jit-trace.html b/model-export/export-with-torch-jit-trace.html index b85004cfd..be80e4137 100644 --- a/model-export/export-with-torch-jit-trace.html +++ b/model-export/export-with-torch-jit-trace.html @@ -45,6 +45,7 @@

                                Contents:

                                • Installation
                                  • +
                                • Docker
                                • Frequently Asked Questions (FAQs)
                                • Model export
                                  • Export model.state_dict()
                                    • diff --git a/model-export/index.html b/model-export/index.html index 6a4894bdb..f7c9d9f33 100644 --- a/model-export/index.html +++ b/model-export/index.html @@ -45,6 +45,7 @@

                                    Contents:

                                    • Installation
                                      • +
                                    • Docker
                                    • Frequently Asked Questions (FAQs)
                                    • Model export
                                      • Export model.state_dict()
                                        • diff --git a/objects.inv b/objects.inv index eacb8b263..e5a0cdd1a 100644 Binary files a/objects.inv and b/objects.inv differ diff --git a/recipes/Non-streaming-ASR/aishell/conformer_ctc.html b/recipes/Non-streaming-ASR/aishell/conformer_ctc.html index a966f5c64..7190287e9 100644 --- a/recipes/Non-streaming-ASR/aishell/conformer_ctc.html +++ b/recipes/Non-streaming-ASR/aishell/conformer_ctc.html @@ -45,6 +45,7 @@

                                        Contents:

                                        diff --git a/recipes/Non-streaming-ASR/aishell/index.html b/recipes/Non-streaming-ASR/aishell/index.html index 8301b81d9..7f4b82483 100644 --- a/recipes/Non-streaming-ASR/aishell/index.html +++ b/recipes/Non-streaming-ASR/aishell/index.html @@ -45,6 +45,7 @@

                                        Contents:

                                        diff --git a/recipes/Non-streaming-ASR/aishell/stateless_transducer.html b/recipes/Non-streaming-ASR/aishell/stateless_transducer.html index 717a5ab0e..e113e3ec9 100644 --- a/recipes/Non-streaming-ASR/aishell/stateless_transducer.html +++ b/recipes/Non-streaming-ASR/aishell/stateless_transducer.html @@ -45,6 +45,7 @@

                                        Contents:

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                                        diff --git a/recipes/Non-streaming-ASR/index.html b/recipes/Non-streaming-ASR/index.html index 73a07bc7e..2cbd9a402 100644 --- a/recipes/Non-streaming-ASR/index.html +++ b/recipes/Non-streaming-ASR/index.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html b/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html index ba23bf7df..479623dc8 100644 --- a/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html +++ b/recipes/Non-streaming-ASR/librispeech/conformer_ctc.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/librispeech/distillation.html b/recipes/Non-streaming-ASR/librispeech/distillation.html index 70dcea8ca..f22f925f7 100644 --- a/recipes/Non-streaming-ASR/librispeech/distillation.html +++ b/recipes/Non-streaming-ASR/librispeech/distillation.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.html b/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.html index 96ba89680..b0ed38063 100644 --- a/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.html +++ b/recipes/Non-streaming-ASR/librispeech/pruned_transducer_stateless.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/librispeech/tdnn_lstm_ctc.html b/recipes/Non-streaming-ASR/librispeech/tdnn_lstm_ctc.html index 11a988c05..8a937cc57 100644 --- a/recipes/Non-streaming-ASR/librispeech/tdnn_lstm_ctc.html +++ b/recipes/Non-streaming-ASR/librispeech/tdnn_lstm_ctc.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/librispeech/zipformer_ctc_blankskip.html b/recipes/Non-streaming-ASR/librispeech/zipformer_ctc_blankskip.html index 66ad3db1d..cda50aa1a 100644 --- a/recipes/Non-streaming-ASR/librispeech/zipformer_ctc_blankskip.html +++ b/recipes/Non-streaming-ASR/librispeech/zipformer_ctc_blankskip.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/librispeech/zipformer_mmi.html b/recipes/Non-streaming-ASR/librispeech/zipformer_mmi.html index e46e1a5dc..a9742351d 100644 --- a/recipes/Non-streaming-ASR/librispeech/zipformer_mmi.html +++ b/recipes/Non-streaming-ASR/librispeech/zipformer_mmi.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/timit/index.html b/recipes/Non-streaming-ASR/timit/index.html index 08733f79e..76d9fc46d 100644 --- a/recipes/Non-streaming-ASR/timit/index.html +++ b/recipes/Non-streaming-ASR/timit/index.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/timit/tdnn_ligru_ctc.html b/recipes/Non-streaming-ASR/timit/tdnn_ligru_ctc.html index 9581f9367..f9497ad4c 100644 --- a/recipes/Non-streaming-ASR/timit/tdnn_ligru_ctc.html +++ b/recipes/Non-streaming-ASR/timit/tdnn_ligru_ctc.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/timit/tdnn_lstm_ctc.html b/recipes/Non-streaming-ASR/timit/tdnn_lstm_ctc.html index b39536ff4..0ea873b3d 100644 --- a/recipes/Non-streaming-ASR/timit/tdnn_lstm_ctc.html +++ b/recipes/Non-streaming-ASR/timit/tdnn_lstm_ctc.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/yesno/index.html b/recipes/Non-streaming-ASR/yesno/index.html index 742e738ae..1fa1bd05a 100644 --- a/recipes/Non-streaming-ASR/yesno/index.html +++ b/recipes/Non-streaming-ASR/yesno/index.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Non-streaming-ASR/yesno/tdnn.html b/recipes/Non-streaming-ASR/yesno/tdnn.html index 1cc657757..6d4ab227c 100644 --- a/recipes/Non-streaming-ASR/yesno/tdnn.html +++ b/recipes/Non-streaming-ASR/yesno/tdnn.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Streaming-ASR/index.html b/recipes/Streaming-ASR/index.html index b1cdcdbf4..5e6a4fcf6 100644 --- a/recipes/Streaming-ASR/index.html +++ b/recipes/Streaming-ASR/index.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Streaming-ASR/introduction.html b/recipes/Streaming-ASR/introduction.html index 9e43a2d69..8f2b70aee 100644 --- a/recipes/Streaming-ASR/introduction.html +++ b/recipes/Streaming-ASR/introduction.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Streaming-ASR/librispeech/index.html b/recipes/Streaming-ASR/librispeech/index.html index bda684f82..299b0e35d 100644 --- a/recipes/Streaming-ASR/librispeech/index.html +++ b/recipes/Streaming-ASR/librispeech/index.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Streaming-ASR/librispeech/lstm_pruned_stateless_transducer.html b/recipes/Streaming-ASR/librispeech/lstm_pruned_stateless_transducer.html index 82e1e392e..37e44afe3 100644 --- a/recipes/Streaming-ASR/librispeech/lstm_pruned_stateless_transducer.html +++ b/recipes/Streaming-ASR/librispeech/lstm_pruned_stateless_transducer.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.html b/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.html index 654e02874..fc0992307 100644 --- a/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.html +++ b/recipes/Streaming-ASR/librispeech/pruned_transducer_stateless.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/Streaming-ASR/librispeech/zipformer_transducer.html b/recipes/Streaming-ASR/librispeech/zipformer_transducer.html index f9e370b8d..abbaebc39 100644 --- a/recipes/Streaming-ASR/librispeech/zipformer_transducer.html +++ b/recipes/Streaming-ASR/librispeech/zipformer_transducer.html @@ -45,6 +45,7 @@

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                                        diff --git a/recipes/index.html b/recipes/index.html index c53fc3c54..00df56533 100644 --- a/recipes/index.html +++ b/recipes/index.html @@ -45,6 +45,7 @@

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                                        diff --git a/search.html b/search.html index bc5fbe20f..69de69880 100644 --- a/search.html +++ b/search.html @@ -45,6 +45,7 @@

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26, 28, 31, 32, 33, 36, 37, 39, 41, 43, 44, 45], "g": [2, 4, 5, 6, 7, 13, 18, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "wer": [2, 13, 14, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "etc": [2, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 41, 43, 44, 45], "provid": [2, 11, 13, 14, 15, 16, 17, 18, 23, 24, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45, 46], "pytorch": [2, 8, 13, 16, 17, 18, 25], "dataload": [2, 13], "take": [2, 7, 14, 29, 31, 39, 44, 45], "input": [2, 14, 16, 17, 18, 23, 25, 26, 28, 32, 36, 37, 39, 41], "checkpoint": [2, 4, 6, 7, 13, 14, 16, 17, 18, 23, 25, 26, 28, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "save": [2, 13, 14, 17, 18, 20, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "dure": [2, 4, 5, 7, 8, 11, 14, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "stage": [2, 13, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "": [2, 4, 6, 7, 13, 14, 16, 17, 18, 19, 20, 23, 25, 26, 28, 29, 31, 32, 33, 34, 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25, 27, 30, 31, 33, 43, 44, 45], "base": [2, 4, 7, 18, 23, 25, 26, 28, 29, 31, 33, 34, 43, 44, 45], "lstm": [2, 15, 21, 22, 24, 27, 30, 35, 40, 42], "attent": [2, 18, 25, 26, 29, 41, 44, 45], "lm": [2, 4, 7, 12, 13, 25, 31, 32, 36, 37, 39, 44, 45], "rescor": [2, 12, 26, 32, 34, 36, 37, 39], "demonstr": [2, 9, 11, 14, 19], "consid": [2, 4, 18], "colab": [2, 13], "notebook": [2, 13], "welcom": 3, "There": [3, 4, 16, 17, 18, 19, 23, 25, 26, 28, 29, 31, 33, 34, 43, 44, 45], "mani": [3, 13, 44, 45], "two": [3, 4, 16, 17, 18, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 41, 43, 44, 45], "them": [3, 5, 6, 9, 10, 11, 16, 18, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "To": [3, 4, 6, 7, 11, 13, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "document": [3, 12, 14, 15, 16, 17, 18, 19, 34], "repositori": [3, 16, 17, 18, 19], "recip": [3, 4, 6, 7, 10, 12, 13, 14, 19, 23, 25, 26, 28, 29, 31, 32, 36, 37, 39, 41, 43, 44, 45], "In": [3, 4, 6, 8, 11, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 28, 29, 32, 36, 37, 39, 41], "page": [3, 11, 20, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 41, 43, 44, 45, 46], "describ": [3, 5, 9, 14, 16, 17, 19, 20, 21, 22, 23, 25, 26, 28, 31, 32, 36, 37, 44, 45], "how": [3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 17, 18, 19, 22, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 41, 43, 44, 45], "creat": [3, 4, 6, 7, 12, 14, 16, 17, 18, 23, 25, 26, 28, 31, 32, 33, 34, 36, 37, 39, 43, 44], "data": [3, 4, 6, 7, 14, 16, 17, 18, 19, 20, 21, 24], "train": [3, 4, 6, 7, 8, 9, 11, 12, 14, 15, 20, 21, 22, 41], "decod": [3, 4, 8, 11, 12, 16, 17, 18, 21, 22], "model": [3, 4, 6, 7, 9, 11, 12, 13, 15, 29, 41], "As": [4, 5, 6, 7, 16, 25, 28, 29], "type": [4, 6, 7, 13, 14, 16, 17, 18, 23, 25, 28, 31, 33, 34, 39, 41, 43, 44, 45], "e2": [4, 7, 13], "usual": [4, 6, 7, 23, 25, 26, 28, 29, 31, 33, 34, 43, 44, 45], "an": [4, 5, 6, 7, 11, 13, 14, 16, 17, 18, 19, 20, 21, 23, 24, 25, 28, 29, 31, 34, 39, 43, 44, 45], "intern": [4, 5], "languag": 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icefall": [[15, "download-icefall"]], "Installation example": [[15, "installation-example"]], "(1) Create a virtual environment": [[15, "create-a-virtual-environment"]], "(2) Install CUDA toolkit and cuDNN": [[15, "id1"]], "(3) Install torch and torchaudio": [[15, "id2"]], "(4) Install k2": [[15, "id3"]], "(5) Install lhotse": [[15, "id5"]], "(6) Download icefall": [[15, "id6"]], "Test Your Installation": [[15, "test-your-installation"]], "Export model.state_dict()": [[16, "export-model-state-dict"], [33, "export-model-state-dict"], [35, "export-model-state-dict"], [36, "export-model-state-dict"], [45, "export-model-state-dict"], [46, "export-model-state-dict"], [47, "export-model-state-dict"]], "When to use it": [[16, "when-to-use-it"], [22, "when-to-use-it"], [23, "when-to-use-it"]], "How to export": [[16, "how-to-export"], [22, "how-to-export"], [23, "how-to-export"]], "How to use the exported model": [[16, "how-to-use-the-exported-model"], [22, "how-to-use-the-exported-model"]], "Use the exported model to run decode.py": [[16, "use-the-exported-model-to-run-decode-py"]], "Export to ncnn": [[17, "export-to-ncnn"]], "Export ConvEmformer transducer models to ncnn": [[18, "export-convemformer-transducer-models-to-ncnn"]], "1. Download the pre-trained model": [[18, "download-the-pre-trained-model"], [19, "download-the-pre-trained-model"], [20, "download-the-pre-trained-model"]], "2. Install ncnn and pnnx": [[18, "install-ncnn-and-pnnx"], [19, "install-ncnn-and-pnnx"], [20, "install-ncnn-and-pnnx"]], "3. Export the model via torch.jit.trace()": [[18, "export-the-model-via-torch-jit-trace"], [19, "export-the-model-via-torch-jit-trace"], [20, "export-the-model-via-torch-jit-trace"]], "4. Export torchscript model via pnnx": [[18, "export-torchscript-model-via-pnnx"], [19, "export-torchscript-model-via-pnnx"], [20, "export-torchscript-model-via-pnnx"]], "5. Test the exported models in icefall": [[18, "test-the-exported-models-in-icefall"], [19, "test-the-exported-models-in-icefall"], [20, "test-the-exported-models-in-icefall"]], "6. Modify the exported encoder for sherpa-ncnn": [[18, "modify-the-exported-encoder-for-sherpa-ncnn"], [19, "modify-the-exported-encoder-for-sherpa-ncnn"], [20, "modify-the-exported-encoder-for-sherpa-ncnn"]], "7. 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