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ziNT(cp}oiIS4CyW9APqW3evM&sWdSZV~h%Qcxq4zZn!R97w$V5I6cINH(vmfj?82i z5cj7;xZ18Tx7C?_)gFSx6t|o!s}rriu^%GcemtEmP$H=k2uRy&$ZY-E_TPex|1egm zn;7PSWVN@ab40+I-0yM$tl&|~NjtuJHC_3PU4m^ZLD!%MR3T(& pHrHe$6Z$hCT0@-%e(#a#w^v>iecn^;pZW*zIp&Q&%0Ci*<-dU7g<}8! literal 0 HcmV?d00001 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 eacb8b2633bc9f2657a2bd90fdf4e860a9295f49..e5a0cdd1a3c43328ddf3e50e13ebb68aff8c8826 100644 GIT binary patch delta 1581 zcmV+|2GaTM43Z6ycz<)-HW0q^S71gxBnL>-PNs+69NTF;6Df|R&ZNC?XcCf8Qv^eR ze)QL8@gNECA%c>6Ni1OZ+YgJy?h=SuLLM1=3Tc***DxQ`oz+dy&$nCNKPR&<)TWMAvhS*IM>!F z5)9q2xIBHxf=MPFR$vgpd{2rz!daZPf&mmsYIGL*KP817d>sJ4 zpx@_csVu4es4O9434t)OEVVdtL2~@T*aD9g@t(&8%>~vZo@s>hEPFkN;Ds`);W2ODooUS%jh z3a+B&vDRbAfVG*h_=yxfezwMqKh;R1APUy20OMNWPW}m2R1z`KsUudAS3!vXr2?Bs z91ZPWwSOwQO=#AHj7-kTj-d`|^!e6Eqej}C8kw$D@-mA6ImHsHDi;uC`bU%{;d!~r zOv~h~L=3$C0q{B%{x*jYQxl35f(f0&47-$z!++VHl^_l&IWX?WFYC>6+<$e45&lQ> z3xz_B5lew5Hoq;KeoKS53WRuV3=0!QyY zU47&4gKb|U<1YAEBQ(?cs>EAuRDXN4BUzK}YWQljN?q`0urGHzu(pMR+f9(2Nz>Fc z!+(xGw0+<@nnCYj{5F8q5!AT%1;J*#Dq*%3&*9%eOg-Bni1c_sW3rW}SEq2-FP%Ct zGt$^do3haHkL^vZ5tw6)41#OOOsbaCF=x(xrF3V>1zjbVLNBBXk+P({WY3-k68=zE zqmsns`_3jAO>Q^aY3srbr_Ic(&+J3eV}GzW@Tri{SlD~%Bd>SYF2Zv)8Olj0y+iEB z>_{00yGnU}HO&XUrwUFi$w#-wi$cAJo<(fD1bLZt3)X41rw^P}(R+k|lxgqm*VXEK z;N5?Z6*3w6Oa{ngw z@a5*XW_Vo@g}k4p&?9B0rHqAh2Q*Q&zF#q?@OpFYVZ9S1o+{d!8S=1GJ2Z5>Ji%-q zg86c;H_|HY8ss(&W2xmm5S%EZSVKf&RaqhS)3S*2Q-4Ezqv3Bfg} zJ}tn8?qR2s=-lF>8yioh!q4T$+lP%Ooe5jeQ8RZ&a(JzVgR?W&bS7hI@OVP=vvI=d z7*uba5bPg0&G$CIgpbhVKk+A;Pv|~OM13iZtsDHN!Ethvk zSO|KcVoE$)3T9L8mUo*`3wk%{t|r-f_(pifra0D8 z(3bute8omBNQzSoNO@}|_9E7PWoA88V*1NVTfDg{_5p9Cd#;-MmAn%5`qU&ntf=C| zBv#*M<#aT|P__#_Jq{E5*;$?+GND fCxgphX||p#Cf{rJK4)C`axT0ui)z0|+zS=P delta 1544 zcmV+j2KV`r4ebn&cz=)EHW0q+R}gRy$$>Un1U>Y&+1)e-VrOH!K-!C-m1vt?SyD)9 zAN}Uh7k`Iz5*vK1@Ue}5Yo?Hz zLe^9e=b2#iu@qorCLzG)TS^qAB#$Mb9uZ{~eah1`e?ekTkeotl%0-nheQ+?Qac-?q zByx0@$K`=!qJ!l=f59ThF}Ow$9AWLSUK8Eo+UjRXJx6*DMaK88IqkDPbT!*vf`oX+ zAcs|@8w z!Bx~e)_M#Xum%$oH9C?Ms0t4JFBRBC$Y98Is#Q^ELQaR7+6pB(1<9$FeE0q&3&En8 zj3%M9e1AA7!J0xSPfl2!oKVz`3bltrk%yNh3N!5<|DzqVlQL;4JBB)>x958!jgHbL znq?YQNyRJzmN~;gqP(IGcA**5;5@l2f*tT_1hH9^@JjYU_$2>!!G6G zaIt44h(k&a4EyoRdb1ezUtRgb|7dZgP^gg{)_=zyqn;mLM6HDWsgzEvX&e3Eb_$Wd zP5Z#ej}pp!`i5@!6V$42CE>EC=;!(O0U)4bhj-#k{z>s z4PT9F#&h}KU|;TbU~LNrw_PAwlcw1?4mKxTvVWYO+!`+m^&WZ_pyBf2W!5b==hcla@VtuN z69lA8b7#LUm)`^L)^W%}f4}M1ZThy4BY7NKPOpa3L2TvO_N+!;C`dgnAv#KC@rJ93 zTBn4vtBYrrXI6h>-D-pdE1`s+(FXCJ$=Pj(^*F z?t5S@eZVIVZ(0Wz3SrvtnY4fJc-uLD1W-M@l-1OTzUFhgp*4HW{>;JigtUZ$2xi0KNXlBO_-}T0f z6&Wi%6u2)kz86dGn~c0&I)Cvh!$|}mX)eAVGpA0^KLCDUURpxyiN=>x$0N<8@#1s( z&8CszODAd-?w`mpti~{mVX%WEY}wHZa;`wt=V{w}>u@8HI< uQ`z}aR*e)tQNKr!I9~T(|4Os*)G+#9v-2t9%9oohj$SvMKLIsUfdLl;&hp~` 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:

                                        diff --git a/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.html b/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.html index 710fce058..4ae9ab7a8 100644 --- a/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.html +++ b/recipes/Non-streaming-ASR/aishell/tdnn_lstm_ctc.html @@ -45,6 +45,7 @@

                                        Contents:

                                        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 @@

                                        Contents:

                                        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, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "python3": [1, 8, 13, 17, 18], "m": [1, 13, 16, 17, 18, 25, 31, 33, 34, 36, 37, 43, 44, 45], "server": [1, 11, 43], "It": [1, 2, 6, 7, 9, 13, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 28, 31, 32, 33, 34, 36, 37, 39, 41, 43, 44, 45], "print": [1, 13, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "serv": [1, 31, 33, 34, 43, 44, 45], "port": [1, 29, 31, 33, 34, 43, 44, 45], "8000": [1, 39], "open": [1, 4, 6, 7, 12, 14, 16, 17, 18, 24, 25, 28, 29], "browser": [1, 9, 11, 31, 33, 34, 43, 44, 45], "go": [1, 7, 23, 25, 28, 31, 33, 34, 43, 44, 45], "read": [2, 13, 14, 16, 17, 18, 23, 25, 26, 28, 29, 31, 32, 33, 34, 36, 37, 39, 43, 44, 45], "code": [2, 3, 8, 12, 13, 16, 17, 18, 23, 28, 29, 31, 32, 36, 37, 39, 41, 44, 45], "style": [2, 3, 12], "adjust": 2, "sytl": 2, "design": 2, "python": [2, 13, 14, 16, 17, 18, 19, 20, 21, 23, 25, 28, 31, 33, 34, 43, 44, 45], "recommend": [2, 6, 7, 13, 23, 25, 26, 28, 29, 31, 44, 45], "test": 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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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"sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.todo": 2, "sphinx": 57}, "alltitles": {"Follow the code style": [[0, "follow-the-code-style"]], "Contributing to Documentation": [[1, "contributing-to-documentation"]], "How to create a recipe": [[2, "how-to-create-a-recipe"]], "Data Preparation": [[2, "data-preparation"], [27, "data-preparation"]], "Training": [[2, "training"], [9, "training"], [15, "training"], [25, "training"], [27, "training"], [28, "training"], [30, "training"], [31, "training"], [33, "training"], [34, "training"], [35, "training"], [36, "training"], [38, "training"], [39, "training"], [41, "training"], [45, "training"], [46, "training"], [47, "training"]], "Decoding": [[2, "decoding"], [9, "decoding"], [15, "decoding"], [25, "decoding"], [27, "decoding"], [28, "decoding"], [30, "decoding"], [31, "decoding"], [33, "decoding"], [34, "decoding"], [35, "decoding"], [36, "decoding"], [38, "decoding"], [39, "decoding"], [41, "decoding"], [45, "decoding"], [46, "decoding"], [47, "decoding"]], "Pre-trained model": [[2, "pre-trained-model"]], "Contributing": [[3, "contributing"]], "LODR for RNN Transducer": [[4, "lodr-for-rnn-transducer"]], "WER of LODR with different beam sizes": [[4, "id1"]], "Decoding with language models": [[5, "decoding-with-language-models"]], "LM-rescoring-based methods vs shallow-fusion-based methods (The numbers in each field is WER on test-clean, WER on test-other and decoding time on test-clean)": [[5, "id1"], [6, "id3"]], "LM rescoring for Transducer": [[6, "lm-rescoring-for-transducer"]], "WERs of LM rescoring with different beam sizes": [[6, "id1"]], "WERs of LM rescoring + LODR with different beam sizes": [[6, "id2"]], "Shallow fusion for Transducer": [[7, "shallow-fusion-for-transducer"]], "WERs and decoding time (on test-clean) of shallow fusion with different beam sizes": [[7, "id2"]], "Docker": [[8, "docker"]], "Introduction": [[9, "introduction"], [43, "introduction"]], "View available tags": [[9, "view-available-tags"]], "Download a docker image": [[9, "download-a-docker-image"]], "Run a docker image with GPU": [[9, "run-a-docker-image-with-gpu"]], "Run a docker image with CPU": [[9, "run-a-docker-image-with-cpu"]], "Run yesno within a docker container": [[9, "run-yesno-within-a-docker-container"]], "Update the code": [[9, "update-the-code"]], "Data preparation": [[9, "data-preparation"], [15, "data-preparation"], [25, "data-preparation"], [28, "data-preparation"], [30, "data-preparation"], [31, "data-preparation"], [33, "data-preparation"], [34, "data-preparation"], [35, "data-preparation"], [36, "data-preparation"], [38, "data-preparation"], [39, "data-preparation"], [41, "data-preparation"], [45, "data-preparation"], [46, "data-preparation"], [47, "data-preparation"]], "Frequently Asked Questions (FAQs)": [[10, "frequently-asked-questions-faqs"]], "OSError: libtorch_hip.so: cannot open shared object file: no such file or directory": [[10, "oserror-libtorch-hip-so-cannot-open-shared-object-file-no-such-file-or-directory"]], "AttributeError: module \u2018distutils\u2019 has no attribute \u2018version\u2019": [[10, "attributeerror-module-distutils-has-no-attribute-version"]], "ImportError: libpython3.10.so.1.0: cannot open shared object file: No such file or directory": [[10, "importerror-libpython3-10-so-1-0-cannot-open-shared-object-file-no-such-file-or-directory"]], "Huggingface": [[11, "huggingface"]], "Pre-trained models": [[12, "pre-trained-models"]], "Huggingface spaces": [[13, "huggingface-spaces"]], "YouTube Video": [[13, "youtube-video"], [15, "youtube-video"]], "Icefall": [[14, "icefall"]], "Contents:": [[14, null]], "Installation": [[15, "installation"]], "(0) Install CUDA toolkit and cuDNN": [[15, "install-cuda-toolkit-and-cudnn"]], "(1) Install torch and torchaudio": [[15, "install-torch-and-torchaudio"]], "(2) Install k2": [[15, "install-k2"]], "(3) Install lhotse": [[15, "install-lhotse"]], "(4) Download 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. (Optional) int8 quantization with sherpa-ncnn": [[18, "optional-int8-quantization-with-sherpa-ncnn"], [19, "optional-int8-quantization-with-sherpa-ncnn"]], "Export LSTM transducer models to ncnn": [[19, "export-lstm-transducer-models-to-ncnn"]], "Export streaming Zipformer transducer models to ncnn": [[20, "export-streaming-zipformer-transducer-models-to-ncnn"]], "Export to ONNX": [[21, "export-to-onnx"]], "sherpa-onnx": [[21, "sherpa-onnx"]], "Example": [[21, "example"]], "Download the pre-trained model": [[21, "download-the-pre-trained-model"], [25, "download-the-pre-trained-model"], [27, "download-the-pre-trained-model"], [28, "download-the-pre-trained-model"], [30, "download-the-pre-trained-model"], [34, "download-the-pre-trained-model"], [38, "download-the-pre-trained-model"], [39, "download-the-pre-trained-model"], [41, "download-the-pre-trained-model"]], "Export the model to ONNX": [[21, "export-the-model-to-onnx"]], "Decode sound files with exported ONNX models": [[21, "decode-sound-files-with-exported-onnx-models"]], "Export model with torch.jit.script()": [[22, "export-model-with-torch-jit-script"]], "Export model with torch.jit.trace()": [[23, "export-model-with-torch-jit-trace"]], "How to use the exported models": [[23, "how-to-use-the-exported-models"]], "Model export": [[24, "model-export"]], "Conformer CTC": [[25, "conformer-ctc"], [30, "conformer-ctc"]], "Configurable options": [[25, "configurable-options"], [28, "configurable-options"], [30, "configurable-options"], [33, "configurable-options"], [35, "configurable-options"], [36, "configurable-options"], [45, "configurable-options"], [46, "configurable-options"], [47, "configurable-options"]], "Pre-configured options": [[25, "pre-configured-options"], [28, "pre-configured-options"], [30, "pre-configured-options"], [33, "pre-configured-options"], [35, "pre-configured-options"], [36, "pre-configured-options"], [45, "pre-configured-options"], [46, "pre-configured-options"], [47, "pre-configured-options"]], "Training logs": [[25, "training-logs"], [27, "training-logs"], [28, "training-logs"], [30, "training-logs"], [33, "training-logs"], [35, "training-logs"], [36, "training-logs"], [45, "training-logs"], [46, "training-logs"], [47, "training-logs"]], "Usage examples": [[25, "usage-examples"], [27, "usage-examples"], [28, "usage-examples"], [30, "usage-examples"]], "Case 1": [[25, "case-1"], [27, "case-1"], [28, "case-1"], [30, "case-1"]], "Case 2": [[25, "case-2"], [27, "case-2"], [28, "case-2"], [30, "case-2"]], "Case 3": [[25, "case-3"], [27, "case-3"], [30, "case-3"]], "Pre-trained Model": [[25, "pre-trained-model"], [27, "pre-trained-model"], [28, "pre-trained-model"], [30, "pre-trained-model"], [34, "pre-trained-model"], [38, "pre-trained-model"], [39, "pre-trained-model"], [41, "pre-trained-model"]], "Install kaldifeat": [[25, "install-kaldifeat"], [27, "install-kaldifeat"], [28, "install-kaldifeat"], [30, "install-kaldifeat"], [34, "install-kaldifeat"], [38, "install-kaldifeat"], [39, "install-kaldifeat"]], "Usage": [[25, "usage"], [27, "usage"], [28, "usage"], [30, "usage"]], "CTC decoding": [[25, "ctc-decoding"], [30, "ctc-decoding"], [30, "id2"]], "HLG decoding": [[25, "hlg-decoding"], [25, "id2"], [28, "hlg-decoding"], [30, "hlg-decoding"], [30, "id3"]], "HLG decoding + attention decoder rescoring": [[25, "hlg-decoding-attention-decoder-rescoring"]], "Colab notebook": [[25, "colab-notebook"], [27, "colab-notebook"], [28, "colab-notebook"], [30, "colab-notebook"], [34, "colab-notebook"], [38, "colab-notebook"], [39, "colab-notebook"], [41, "colab-notebook"]], "Deployment with C++": [[25, "deployment-with-c"], [30, "deployment-with-c"]], "aishell": [[26, "aishell"]], "Stateless Transducer": [[27, "stateless-transducer"]], "The Model": [[27, "the-model"]], "The Loss": [[27, "the-loss"]], "Todo": [[27, "id1"]], "Greedy search": [[27, "greedy-search"]], "Beam search": [[27, "beam-search"]], "Modified Beam search": [[27, "modified-beam-search"]], "TDNN-LSTM CTC": [[28, "tdnn-lstm-ctc"]], "Non Streaming ASR": [[29, "non-streaming-asr"]], "HLG decoding + LM rescoring": [[30, "hlg-decoding-lm-rescoring"]], "HLG decoding + LM rescoring + attention decoder rescoring": [[30, "hlg-decoding-lm-rescoring-attention-decoder-rescoring"]], "Compute WER with the pre-trained model": [[30, "compute-wer-with-the-pre-trained-model"]], "HLG decoding + n-gram LM rescoring": [[30, "hlg-decoding-n-gram-lm-rescoring"]], "HLG decoding + n-gram LM rescoring + attention decoder rescoring": [[30, "hlg-decoding-n-gram-lm-rescoring-attention-decoder-rescoring"]], "Distillation with HuBERT": [[31, "distillation-with-hubert"]], "Codebook index preparation": [[31, "codebook-index-preparation"]], "LibriSpeech": [[32, "librispeech"], [44, "librispeech"]], "Pruned transducer statelessX": [[33, "pruned-transducer-statelessx"], [46, "pruned-transducer-statelessx"]], "Usage example": [[33, "usage-example"], [35, "usage-example"], [36, "usage-example"], [45, "usage-example"], [46, "usage-example"], [47, "usage-example"]], "Export Model": [[33, "export-model"], [46, "export-model"], [47, "export-model"]], "Export model using torch.jit.script()": [[33, "export-model-using-torch-jit-script"], [35, "export-model-using-torch-jit-script"], [36, "export-model-using-torch-jit-script"], [46, "export-model-using-torch-jit-script"], [47, "export-model-using-torch-jit-script"]], "Download pretrained models": [[33, "download-pretrained-models"], [35, "download-pretrained-models"], [36, "download-pretrained-models"], [45, "download-pretrained-models"], [46, "download-pretrained-models"], [47, "download-pretrained-models"]], "Deploy with Sherpa": [[33, "deploy-with-sherpa"], [46, "deploy-with-sherpa"], [47, "deploy-with-sherpa"]], "TDNN-LSTM-CTC": [[34, "tdnn-lstm-ctc"], [39, "tdnn-lstm-ctc"]], "Inference with a pre-trained model": [[34, "inference-with-a-pre-trained-model"], [38, "inference-with-a-pre-trained-model"], [39, "inference-with-a-pre-trained-model"], [41, "inference-with-a-pre-trained-model"]], "Zipformer CTC Blank Skip": [[35, "zipformer-ctc-blank-skip"]], "Export models": [[35, "export-models"], [36, "export-models"], [45, "export-models"]], "Zipformer MMI": [[36, "zipformer-mmi"]], "TIMIT": [[37, "timit"]], "TDNN-LiGRU-CTC": [[38, "tdnn-ligru-ctc"]], "YesNo": [[40, "yesno"]], "TDNN-CTC": [[41, "tdnn-ctc"]], "Download kaldifeat": [[41, "download-kaldifeat"]], "Streaming ASR": [[42, "streaming-asr"]], "Streaming Conformer": [[43, "streaming-conformer"]], "Streaming Emformer": [[43, "streaming-emformer"]], "LSTM Transducer": [[45, "lstm-transducer"]], "Which model to use": [[45, "which-model-to-use"]], "Export model using torch.jit.trace()": [[45, "export-model-using-torch-jit-trace"], [47, "export-model-using-torch-jit-trace"]], "Simulate streaming decoding": [[46, "simulate-streaming-decoding"], [47, "simulate-streaming-decoding"]], "Real streaming decoding": [[46, "real-streaming-decoding"], [47, "real-streaming-decoding"]], "Zipformer Transducer": [[47, "zipformer-transducer"]], "Recipes": [[48, "recipes"]], "Table of Contents": [[48, null]]}, "indexentries": {}}) \ No newline at end of file