Address review comments
This commit is contained in:
Reuben Morais
parent
4d98958b77
commit
0b51004081
@ -1,5 +1,5 @@
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This file contains a list of papers in chronological order that have been published
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using Mozilla's DeepSpeech.
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using Mozilla Voice STT.
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To appear
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==========
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@ -1,5 +1,5 @@
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Project DeepSpeech
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==================
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Mozilla Voice STT
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=================
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.. image:: https://readthedocs.org/projects/deepspeech/badge/?version=latest
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@ -12,7 +12,7 @@ Project DeepSpeech
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:alt: Task Status
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DeepSpeech is an open source Speech-To-Text engine, using a model trained by machine learning techniques based on `Baidu's Deep Speech research paper <https://arxiv.org/abs/1412.5567>`_. Project DeepSpeech uses Google's `TensorFlow <https://www.tensorflow.org/>`_ to make the implementation easier.
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Mozilla Voice STT is an open source Speech-To-Text engine, using a model trained by machine learning techniques based on `Baidu's Deep Speech research paper <https://arxiv.org/abs/1412.5567>`_. Mozilla Voice STT uses Google's `TensorFlow <https://www.tensorflow.org/>`_ to make the implementation easier.
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Documentation for installation, usage, and training models are available on `deepspeech.readthedocs.io <http://deepspeech.readthedocs.io/?badge=latest>`_.
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@ -99,7 +99,7 @@ Now, ``cd`` into the ``DeepSpeech/native_client`` directory and use the ``Makefi
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.. code-block::
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cd ../DeepSpeech/native_client
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make deepspeech
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make mozilla_voice_stt
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Installing your own Binaries
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----------------------------
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@ -121,7 +121,7 @@ Included are a set of generated Python bindings. After following the above build
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cd native_client/python
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make bindings
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pip install dist/deepspeech*
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pip install dist/mozilla_voice_stt*
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The API mirrors the C++ API and is demonstrated in `client.py <python/client.py>`_. Refer to the `C API <c-usage>` for documentation.
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@ -175,13 +175,13 @@ And your command line for ``LePotato`` and ``ARM64`` should look like:
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While we test only on RPi3 Raspbian Buster and LePotato ARMBian Buster, anything compatible with ``armv7-a cortex-a53`` or ``armv8-a cortex-a53`` should be fine.
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The ``deepspeech`` binary can also be cross-built, with ``TARGET=rpi3`` or ``TARGET=rpi3-armv8``. This might require you to setup a system tree using the tool ``multistrap`` and the multitrap configuration files: ``native_client/multistrap_armbian64_buster.conf`` and ``native_client/multistrap_raspbian_buster.conf``.
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The ``mozilla_voice_stt`` binary can also be cross-built, with ``TARGET=rpi3`` or ``TARGET=rpi3-armv8``. This might require you to setup a system tree using the tool ``multistrap`` and the multitrap configuration files: ``native_client/multistrap_armbian64_buster.conf`` and ``native_client/multistrap_raspbian_buster.conf``.
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The path of the system tree can be overridden from the default values defined in ``definitions.mk`` through the ``RASPBIAN`` ``make`` variable.
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.. code-block::
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cd ../DeepSpeech/native_client
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make TARGET=<system> deepspeech
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make TARGET=<system> mozilla_voice_stt
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Android devices support
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-----------------------
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@ -236,10 +236,10 @@ Please note that you might have to copy the file to a local Maven repository
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and adapt file naming (when missing, the error message should states what
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filename it expects and where).
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Building C++ ``deepspeech`` binary
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Building C++ ``mozilla_voice_stt`` binary
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Building the ``deepspeech`` binary will happen through ``ndk-build`` (ARMv7):
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Building the ``mozilla_voice_stt`` binary will happen through ``ndk-build`` (ARMv7):
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.. code-block::
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@ -272,13 +272,13 @@ demo of one usage of the application. For example, it's only able to read PCM
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mono 16kHz 16-bits file and it might fail on some WAVE file that are not
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following exactly the specification.
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Running ``deepspeech`` via adb
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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Running ``mozilla_voice_stt`` via adb
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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You should use ``adb push`` to send data to device, please refer to Android
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documentation on how to use that.
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Please push Mozilla Voice STT data to ``/sdcard/deepspeech/``\ , including:
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Please push Mozilla Voice STT data to ``/sdcard/mozilla_voice_stt/``\ , including:
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* ``output_graph.tflite`` which is the TF Lite model
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@ -286,9 +286,9 @@ Please push Mozilla Voice STT data to ``/sdcard/deepspeech/``\ , including:
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the scorer; please be aware that too big scorer will make the device run out
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of memory
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Then, push binaries from ``native_client.tar.xz`` to ``/data/local/tmp/ds``\ :
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Then, push binaries from ``native_client.tar.xz`` to ``/data/local/tmp/stt``\ :
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* ``deepspeech``
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* ``mozilla_voice_stt``
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* ``libmozilla_voice_stt.so``
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* ``libc++_shared.so``
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@ -296,8 +296,8 @@ You should then be able to run as usual, using a shell from ``adb shell``\ :
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.. code-block::
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user@device$ cd /data/local/tmp/ds/
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user@device$ LD_LIBRARY_PATH=$(pwd)/ ./deepspeech [...]
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user@device$ cd /data/local/tmp/stt/
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user@device$ LD_LIBRARY_PATH=$(pwd)/ ./mozilla_voice_stt [...]
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Please note that Android linker does not support ``rpath`` so you have to set
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``LD_LIBRARY_PATH``. Properly wrapped / packaged bindings does embed the library
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@ -2,17 +2,17 @@
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==============
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DeepSpeech Class
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----------------
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MozillaVoiceSttModel Class
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--------------------------
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.. doxygenclass:: DeepSpeechClient::DeepSpeech
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.. doxygenclass:: MozillaVoiceSttClient::MozillaVoiceSttModel
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:project: deepspeech-dotnet
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:members:
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DeepSpeechStream Class
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----------------------
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MozillaVoiceSttStream Class
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---------------------------
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.. doxygenclass:: DeepSpeechClient::Models::DeepSpeechStream
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.. doxygenclass:: MozillaVoiceSttClient::Models::MozillaVoiceSttStream
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:project: deepspeech-dotnet
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:members:
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@ -21,33 +21,33 @@ ErrorCodes
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See also the main definition including descriptions for each error in :ref:`error-codes`.
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.. doxygenenum:: DeepSpeechClient::Enums::ErrorCodes
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.. doxygenenum:: MozillaVoiceSttClient::Enums::ErrorCodes
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:project: deepspeech-dotnet
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Metadata
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--------
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.. doxygenclass:: DeepSpeechClient::Models::Metadata
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.. doxygenclass:: MozillaVoiceSttClient::Models::Metadata
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:project: deepspeech-dotnet
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:members: Transcripts
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CandidateTranscript
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-------------------
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.. doxygenclass:: DeepSpeechClient::Models::CandidateTranscript
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.. doxygenclass:: MozillaVoiceSttClient::Models::CandidateTranscript
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:project: deepspeech-dotnet
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:members: Tokens, Confidence
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TokenMetadata
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-------------
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.. doxygenclass:: DeepSpeechClient::Models::TokenMetadata
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.. doxygenclass:: MozillaVoiceSttClient::Models::TokenMetadata
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:project: deepspeech-dotnet
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:members: Text, Timestep, StartTime
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DeepSpeech Interface
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--------------------
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IMozillaVoiceSttModel Interface
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-------------------------------
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.. doxygeninterface:: DeepSpeechClient::Interfaces::IDeepSpeech
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.. doxygeninterface:: MozillaVoiceSttClient::Interfaces::IMozillaVoiceSttModel
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:project: deepspeech-dotnet
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:members:
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.NET API Usage example
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======================
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Examples are from `native_client/dotnet/DeepSpeechConsole/Program.cs`.
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Examples are from `native_client/dotnet/MozillaVoiceSttConsole/Program.cs`.
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Creating a model instance and loading model
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-------------------------------------------
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.. literalinclude:: ../native_client/dotnet/DeepSpeechConsole/Program.cs
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.. literalinclude:: ../native_client/dotnet/MozillaVoiceSttConsole/Program.cs
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:language: csharp
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:linenos:
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:lineno-match:
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@ -16,7 +16,7 @@ Creating a model instance and loading model
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Performing inference
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--------------------
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.. literalinclude:: ../native_client/dotnet/DeepSpeechConsole/Program.cs
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.. literalinclude:: ../native_client/dotnet/MozillaVoiceSttConsole/Program.cs
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:language: csharp
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:linenos:
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:lineno-match:
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Full source code
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----------------
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See :download:`Full source code<../native_client/dotnet/DeepSpeechConsole/Program.cs>`.
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See :download:`Full source code<../native_client/dotnet/MozillaVoiceSttConsole/Program.cs>`.
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Java
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====
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DeepSpeechModel
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---------------
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MozillaVoiceSttModel
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--------------------
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.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::DeepSpeechModel
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.. doxygenclass:: org::mozilla::voice::stt::MozillaVoiceSttModel
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:project: deepspeech-java
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:members:
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Metadata
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--------
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.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::Metadata
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.. doxygenclass:: org::mozilla::voice::stt::Metadata
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:project: deepspeech-java
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:members: getNumTranscripts, getTranscript
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CandidateTranscript
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-------------------
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.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::CandidateTranscript
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.. doxygenclass:: org::mozilla::voice::stt::CandidateTranscript
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:project: deepspeech-java
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:members: getNumTokens, getConfidence, getToken
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TokenMetadata
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-------------
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.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::TokenMetadata
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.. doxygenclass:: org::mozilla::voice::stt::TokenMetadata
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:project: deepspeech-java
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:members: getText, getTimestep, getStartTime
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Java API Usage example
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======================
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Examples are from `native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java`.
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Examples are from `native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java`.
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Creating a model instance and loading model
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-------------------------------------------
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.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java
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.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java
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:language: java
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:linenos:
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:lineno-match:
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@ -16,7 +16,7 @@ Creating a model instance and loading model
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Performing inference
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--------------------
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.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java
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.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java
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:language: java
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:linenos:
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:lineno-match:
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@ -26,4 +26,4 @@ Performing inference
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Full source code
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----------------
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See :download:`Full source code<../native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java>`.
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See :download:`Full source code<../native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java>`.
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Parallel Optimization
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=====================
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This is how we implement optimization of the DeepSpeech model across GPUs on a
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single host. Parallel optimization can take on various forms. For example
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This is how we implement optimization of the Mozilla Voice STT model across GPUs
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on a single host. Parallel optimization can take on various forms. For example
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one can use asynchronous updates of the model, synchronous updates of the model,
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or some combination of the two.
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@ -9,61 +9,61 @@ Linux / AMD64 without GPU
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^^^^^^^^^^^^^^^^^^^^^^^^^
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* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
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* Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
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* Full TensorFlow runtime (``deepspeech`` packages)
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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Linux / AMD64 with GPU
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^^^^^^^^^^^^^^^^^^^^^^
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* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
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* Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
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* CUDA 10.0 (and capable GPU)
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* Full TensorFlow runtime (``deepspeech`` packages)
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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Linux / ARMv7
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^^^^^^^^^^^^^
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* Cortex-A53 compatible ARMv7 SoC with Neon support
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* Raspbian Buster-compatible distribution
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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Linux / Aarch64
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^^^^^^^^^^^^^^^
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* Cortex-A72 compatible Aarch64 SoC
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* ARMbian Buster-compatible distribution
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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Android / ARMv7
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^^^^^^^^^^^^^^^
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* ARMv7 SoC with Neon support
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* Android 7.0-10.0
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* NDK API level >= 21
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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Android / Aarch64
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^^^^^^^^^^^^^^^^^
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* Aarch64 SoC
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* Android 7.0-10.0
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* NDK API level >= 21
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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macOS / AMD64
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^^^^^^^^^^^^^
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* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
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* macOS >= 10.10
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* Full TensorFlow runtime (``deepspeech`` packages)
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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Windows / AMD64 without GPU
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
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* Windows Server >= 2012 R2 ; Windows >= 8.1
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* Full TensorFlow runtime (``deepspeech`` packages)
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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Windows / AMD64 with GPU
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^^^^^^^^^^^^^^^^^^^^^^^^
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* x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
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* Windows Server >= 2012 R2 ; Windows >= 8.1
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* CUDA 10.0 (and capable GPU)
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* Full TensorFlow runtime (``deepspeech`` packages)
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* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
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* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
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* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
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@ -21,11 +21,11 @@ Clone the Mozilla Voice STT repository:
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Creating a virtual environment
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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In creating a virtual environment you will create a directory containing a ``python3`` binary and everything needed to run deepspeech. You can use whatever directory you want. For the purpose of the documentation, we will rely on ``$HOME/tmp/deepspeech-train-venv``. You can create it using this command:
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In creating a virtual environment you will create a directory containing a ``python3`` binary and everything needed to run Mozilla Voice STT. You can use whatever directory you want. For the purpose of the documentation, we will rely on ``$HOME/tmp/stt-train-venv``. You can create it using this command:
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.. code-block::
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$ python3 -m venv $HOME/tmp/deepspeech-train-venv/
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$ python3 -m venv $HOME/tmp/stt-train-venv/
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Once this command completes successfully, the environment will be ready to be activated.
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@ -36,7 +36,7 @@ Each time you need to work with Mozilla Voice STT, you have to *activate* this v
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.. code-block::
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$ source $HOME/tmp/deepspeech-train-venv/bin/activate
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$ source $HOME/tmp/stt-train-venv/bin/activate
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Installing Mozilla Voice STT Training Code and its dependencies
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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@ -13,7 +13,7 @@ Inference using a Mozilla Voice STT pre-trained model can be done with a client/
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.. _runtime-deps:
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Running ``deepspeech`` might, see below, require some runtime dependencies to be already installed on your system:
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Running ``mozilla_voice_stt`` might, see below, require some runtime dependencies to be already installed on your system:
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* ``sox`` - The Python and Node.JS clients use SoX to resample files to 16kHz.
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* ``libgomp1`` - libsox (statically linked into the clients) depends on OpenMP. Some people have had to install this manually.
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@ -28,7 +28,7 @@ Please refer to your system's documentation on how to install these dependencies
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CUDA dependency
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^^^^^^^^^^^^^^^
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The GPU capable builds (Python, NodeJS, C++, etc) depend on CUDA 10.1 and CuDNN v7.6.
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The CUDA capable builds (Python, NodeJS, C++, etc) depend on CUDA 10.1 and CuDNN v7.6.
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Getting the pre-trained model
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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@ -40,17 +40,17 @@ If you want to use the pre-trained English model for performing speech-to-text,
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wget https://github.com/mozilla/DeepSpeech/releases/download/v0.7.4/deepspeech-0.7.4-models.pbmm
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wget https://github.com/mozilla/DeepSpeech/releases/download/v0.7.4/deepspeech-0.7.4-models.scorer
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|
||||
There are several pre-trained model files available in official releases. Files ending in ``.pbmm`` are compatible with clients and language bindings built against the standard TensorFlow runtime. Usually these packages are simply called ``deepspeech``. These files are also compatible with CUDA enabled clients and language bindings. These packages are usually called ``deepspeech-gpu``. Files ending in ``.tflite`` are compatible with clients and language bindings built against the `TensorFlow Lite runtime <https://www.tensorflow.org/lite/>`_. These models are optimized for size and performance in low power devices. On desktop platforms, the compatible packages are called ``deepspeech-tflite``. On Android and Raspberry Pi, we only publish TensorFlow Lite enabled packages, and they are simply called ``deepspeech``. You can see a full list of supported platforms and which TensorFlow runtime is supported at :ref:`supported-platforms-inference`.
|
||||
There are several pre-trained model files available in official releases. Files ending in ``.pbmm`` are compatible with clients and language bindings built against the standard TensorFlow runtime. Usually these packages are simply called ``mozilla_voice_stt``. These files are also compatible with CUDA enabled clients and language bindings. These packages are usually called ``mozilla_voice_stt_cuda``. Files ending in ``.tflite`` are compatible with clients and language bindings built against the `TensorFlow Lite runtime <https://www.tensorflow.org/lite/>`_. These models are optimized for size and performance in low power devices. On desktop platforms, the compatible packages are called ``mozilla_voice_stt_tflite``. On Android and Raspberry Pi, we only publish TensorFlow Lite enabled packages, and they are simply called ``mozilla_voice_stt``. You can see a full list of supported platforms and which TensorFlow runtime is supported at :ref:`supported-platforms-inference`.
|
||||
|
||||
+--------------------+---------------------+---------------------+
|
||||
+--------------------------+---------------------+---------------------+
|
||||
| Package/Model type | .pbmm | .tflite |
|
||||
+====================+=====================+=====================+
|
||||
| deepspeech | Depends on platform | Depends on platform |
|
||||
+--------------------+---------------------+---------------------+
|
||||
| deepspeech-gpu | ✅ | ❌ |
|
||||
+--------------------+---------------------+---------------------+
|
||||
| deepspeech-tflite | ❌ | ✅ |
|
||||
+--------------------+---------------------+---------------------+
|
||||
+==========================+=====================+=====================+
|
||||
| mozilla_voice_stt | Depends on platform | Depends on platform |
|
||||
+--------------------------+---------------------+---------------------+
|
||||
| mozilla_voice_stt_cuda | ✅ | ❌ |
|
||||
+--------------------------+---------------------+---------------------+
|
||||
| mozilla_voice_stt_tflite | ❌ | ✅ |
|
||||
+--------------------------+---------------------+---------------------+
|
||||
|
||||
Finally, the pre-trained model files also include files ending in ``.scorer``. These are external scorers (language models) that are used at inference time in conjunction with an acoustic model (``.pbmm`` or ``.tflite`` file) to produce transcriptions. We also provide further documentation on :ref:`the decoding process <decoder-docs>` and :ref:`how scorers are generated <scorer-scripts>`.
|
||||
|
||||
@ -73,7 +73,7 @@ Mozilla Voice STT models are versioned to keep you from trying to use an incompa
|
||||
Using the Python package
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
Pre-built binaries which can be used for performing inference with a trained model can be installed with ``pip3``. You can then use the ``deepspeech`` binary to do speech-to-text on an audio file:
|
||||
Pre-built binaries which can be used for performing inference with a trained model can be installed with ``pip3``. You can then use the ``mozilla_voice_stt`` binary to do speech-to-text on an audio file:
|
||||
|
||||
For the Python bindings, it is highly recommended that you perform the installation within a Python 3.5 or later virtual environment. You can find more information about those in `this documentation <http://docs.python-guide.org/en/latest/dev/virtualenvs/>`_.
|
||||
|
||||
@ -82,11 +82,11 @@ We will continue under the assumption that you already have your system properly
|
||||
Create a Mozilla Voice STT virtual environment
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||
|
||||
In creating a virtual environment you will create a directory containing a ``python3`` binary and everything needed to run deepspeech. You can use whatever directory you want. For the purpose of the documentation, we will rely on ``$HOME/tmp/deepspeech-venv``. You can create it using this command:
|
||||
In creating a virtual environment you will create a directory containing a ``python3`` binary and everything needed to run Mozilla Voice STT. You can use whatever directory you want. For the purpose of the documentation, we will rely on ``$HOME/tmp/stt-venv``. You can create it using this command:
|
||||
|
||||
.. code-block::
|
||||
|
||||
$ virtualenv -p python3 $HOME/tmp/deepspeech-venv/
|
||||
$ virtualenv -p python3 $HOME/tmp/stt-venv/
|
||||
|
||||
Once this command completes successfully, the environment will be ready to be activated.
|
||||
|
||||
@ -97,46 +97,46 @@ Each time you need to work with Mozilla Voice STT, you have to *activate* this v
|
||||
|
||||
.. code-block::
|
||||
|
||||
$ source $HOME/tmp/deepspeech-venv/bin/activate
|
||||
$ source $HOME/tmp/stt-venv/bin/activate
|
||||
|
||||
Installing Mozilla Voice STT Python bindings
|
||||
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
||||
|
||||
Once your environment has been set-up and loaded, you can use ``pip3`` to manage packages locally. On a fresh setup of the ``virtualenv``\ , you will have to install the Mozilla Voice STT wheel. You can check if ``deepspeech`` is already installed with ``pip3 list``.
|
||||
Once your environment has been set-up and loaded, you can use ``pip3`` to manage packages locally. On a fresh setup of the ``virtualenv``\ , you will have to install the Mozilla Voice STT wheel. You can check if ``mozilla_voice_stt`` is already installed with ``pip3 list``.
|
||||
|
||||
To perform the installation, just use ``pip3`` as such:
|
||||
|
||||
.. code-block::
|
||||
|
||||
$ pip3 install deepspeech
|
||||
$ pip3 install mozilla_voice_stt
|
||||
|
||||
If ``deepspeech`` is already installed, you can update it as such:
|
||||
If ``mozilla_voice_stt`` is already installed, you can update it as such:
|
||||
|
||||
.. code-block::
|
||||
|
||||
$ pip3 install --upgrade deepspeech
|
||||
$ pip3 install --upgrade mozilla_voice_stt
|
||||
|
||||
Alternatively, if you have a supported NVIDIA GPU on Linux, you can install the GPU specific package as follows:
|
||||
Alternatively, if you have a supported NVIDIA GPU on Linux, you can install the CUDA specific package as follows:
|
||||
|
||||
.. code-block::
|
||||
|
||||
$ pip3 install deepspeech-gpu
|
||||
$ pip3 install mozilla_voice_stt_cuda
|
||||
|
||||
See the `release notes <https://github.com/mozilla/DeepSpeech/releases>`_ to find which GPUs are supported. Please ensure you have the required `CUDA dependency <#cuda-dependency>`_.
|
||||
|
||||
You can update ``deepspeech-gpu`` as follows:
|
||||
You can update ``mozilla_voice_stt_cuda`` as follows:
|
||||
|
||||
.. code-block::
|
||||
|
||||
$ pip3 install --upgrade deepspeech-gpu
|
||||
$ pip3 install --upgrade mozilla_voice_stt_cuda
|
||||
|
||||
In both cases, ``pip3`` should take care of installing all the required dependencies. After installation has finished, you should be able to call ``deepspeech`` from the command-line.
|
||||
In both cases, ``pip3`` should take care of installing all the required dependencies. After installation has finished, you should be able to call ``mozilla_voice_stt`` from the command-line.
|
||||
|
||||
Note: the following command assumes you `downloaded the pre-trained model <#getting-the-pre-trained-model>`_.
|
||||
|
||||
.. code-block:: bash
|
||||
|
||||
deepspeech --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio my_audio_file.wav
|
||||
mozilla_voice_stt --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio my_audio_file.wav
|
||||
|
||||
The ``--scorer`` argument is optional, and represents an external language model to be used when transcribing the audio.
|
||||
|
||||
@ -151,7 +151,7 @@ You can download the JS bindings using ``npm``\ :
|
||||
|
||||
.. code-block:: bash
|
||||
|
||||
npm install deepspeech
|
||||
npm install mozilla_voice_stt
|
||||
|
||||
Please note that as of now, we support:
|
||||
- Node.JS versions 4 to 13.
|
||||
@ -159,11 +159,11 @@ Please note that as of now, we support:
|
||||
|
||||
TypeScript support is also provided.
|
||||
|
||||
Alternatively, if you're using Linux and have a supported NVIDIA GPU, you can install the GPU specific package as follows:
|
||||
Alternatively, if you're using Linux and have a supported NVIDIA GPU, you can install the CUDA specific package as follows:
|
||||
|
||||
.. code-block:: bash
|
||||
|
||||
npm install deepspeech-gpu
|
||||
npm install mozilla_voice_stt_cuda
|
||||
|
||||
See the `release notes <https://github.com/mozilla/DeepSpeech/releases>`_ to find which GPUs are supported. Please ensure you have the required `CUDA dependency <#cuda-dependency>`_.
|
||||
|
||||
@ -174,7 +174,7 @@ See the :ref:`TypeScript client <js-api-example>` for an example of how to use t
|
||||
Using the command-line client
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
To download the pre-built binaries for the ``deepspeech`` command-line (compiled C++) client, use ``util/taskcluster.py``\ :
|
||||
To download the pre-built binaries for the ``mozilla_voice_stt`` command-line (compiled C++) client, use ``util/taskcluster.py``\ :
|
||||
|
||||
.. code-block:: bash
|
||||
|
||||
@ -192,7 +192,7 @@ also, if you need some binaries different than current master, like ``v0.2.0-alp
|
||||
|
||||
python3 util/taskcluster.py --branch "v0.2.0-alpha.6" --target "."
|
||||
|
||||
The script ``taskcluster.py`` will download ``native_client.tar.xz`` (which includes the ``deepspeech`` binary and associated libraries) and extract it into the current folder. Also, ``taskcluster.py`` will download binaries for Linux/x86_64 by default, but you can override that behavior with the ``--arch`` parameter. See the help info with ``python util/taskcluster.py -h`` for more details. Specific branches of Mozilla Voice STT or TensorFlow can be specified as well.
|
||||
The script ``taskcluster.py`` will download ``native_client.tar.xz`` (which includes the ``mozilla_voice_stt`` binary and associated libraries) and extract it into the current folder. Also, ``taskcluster.py`` will download binaries for Linux/x86_64 by default, but you can override that behavior with the ``--arch`` parameter. See the help info with ``python util/taskcluster.py -h`` for more details. Specific branches of Mozilla Voice STT or TensorFlow can be specified as well.
|
||||
|
||||
Alternatively you may manually download the ``native_client.tar.xz`` from the [releases](https://github.com/mozilla/DeepSpeech/releases).
|
||||
|
||||
@ -200,9 +200,9 @@ Note: the following command assumes you `downloaded the pre-trained model <#gett
|
||||
|
||||
.. code-block:: bash
|
||||
|
||||
./deepspeech --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio audio_input.wav
|
||||
./mozilla_voice_stt --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio audio_input.wav
|
||||
|
||||
See the help output with ``./deepspeech -h`` for more details.
|
||||
See the help output with ``./mozilla_voice_stt -h`` for more details.
|
||||
|
||||
Installing bindings from source
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
@ -24,7 +24,7 @@ import sys
|
||||
|
||||
sys.path.insert(0, os.path.abspath('../'))
|
||||
|
||||
autodoc_mock_imports = ['deepspeech']
|
||||
autodoc_mock_imports = ['mozilla_voice_stt']
|
||||
|
||||
# This is in fact only relevant on ReadTheDocs, but we want to run the same way
|
||||
# on our CI as in RTD to avoid regressions on RTD that we would not catch on
|
||||
@ -143,7 +143,7 @@ html_static_path = ['.static']
|
||||
# -- Options for HTMLHelp output ------------------------------------------
|
||||
|
||||
# Output file base name for HTML help builder.
|
||||
htmlhelp_basename = 'DeepSpeechdoc'
|
||||
htmlhelp_basename = 'sttdoc'
|
||||
|
||||
|
||||
# -- Options for LaTeX output ---------------------------------------------
|
||||
@ -180,7 +180,7 @@ latex_documents = [
|
||||
# One entry per manual page. List of tuples
|
||||
# (source start file, name, description, authors, manual section).
|
||||
man_pages = [
|
||||
(master_doc, 'deepspeech', u'Mozilla Voice STT Documentation',
|
||||
(master_doc, 'mozilla_voice_stt', u'Mozilla Voice STT Documentation',
|
||||
[author], 1)
|
||||
]
|
||||
|
||||
|
||||
@ -790,7 +790,7 @@ WARN_LOGFILE =
|
||||
# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
|
||||
# Note: If this tag is empty the current directory is searched.
|
||||
|
||||
INPUT = native_client/dotnet/DeepSpeechClient/ native_client/dotnet/DeepSpeechClient/Interfaces/ native_client/dotnet/DeepSpeechClient/Enums/ native_client/dotnet/DeepSpeechClient/Models/
|
||||
INPUT = native_client/dotnet/MozillaVoiceSttClient/ native_client/dotnet/MozillaVoiceSttClient/Interfaces/ native_client/dotnet/MozillaVoiceSttClient/Enums/ native_client/dotnet/MozillaVoiceSttClient/Models/
|
||||
|
||||
# This tag can be used to specify the character encoding of the source files
|
||||
# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
|
||||
|
||||
@ -790,7 +790,7 @@ WARN_LOGFILE =
|
||||
# spaces. See also FILE_PATTERNS and EXTENSION_MAPPING
|
||||
# Note: If this tag is empty the current directory is searched.
|
||||
|
||||
INPUT = native_client/java/libdeepspeech/src/main/java/org/mozilla/deepspeech/libdeepspeech/ native_client/java/libdeepspeech/src/main/java/org/mozilla/deepspeech/libdeepspeech_doc/
|
||||
INPUT = native_client/java/libmozillavoicestt/src/main/java/org/mozilla/voice/stt/ native_client/java/libmozillavoicestt/src/main/java/org/mozilla/voice/stt_doc/
|
||||
|
||||
# This tag can be used to specify the character encoding of the source files
|
||||
# that doxygen parses. Internally doxygen uses the UTF-8 encoding. Doxygen uses
|
||||
|
||||
@ -13,11 +13,11 @@ To install and use Mozilla Voice STT all you have to do is:
|
||||
.. code-block:: bash
|
||||
|
||||
# Create and activate a virtualenv
|
||||
virtualenv -p python3 $HOME/tmp/deepspeech-venv/
|
||||
source $HOME/tmp/deepspeech-venv/bin/activate
|
||||
virtualenv -p python3 $HOME/tmp/stt-venv/
|
||||
source $HOME/tmp/stt-venv/bin/activate
|
||||
|
||||
# Install Mozilla Voice STT
|
||||
pip3 install deepspeech
|
||||
pip3 install mozilla_voice_stt
|
||||
|
||||
# Download pre-trained English model files
|
||||
curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.7.4/deepspeech-0.7.4-models.pbmm
|
||||
@ -28,27 +28,27 @@ To install and use Mozilla Voice STT all you have to do is:
|
||||
tar xvf audio-0.7.4.tar.gz
|
||||
|
||||
# Transcribe an audio file
|
||||
deepspeech --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio audio/2830-3980-0043.wav
|
||||
mozilla_voice_stt --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio audio/2830-3980-0043.wav
|
||||
|
||||
A pre-trained English model is available for use and can be downloaded following the instructions in :ref:`the usage docs <usage-docs>`. For the latest release, including pre-trained models and checkpoints, `see the GitHub releases page <https://github.com/mozilla/DeepSpeech/releases/latest>`_.
|
||||
|
||||
Quicker inference can be performed using a supported NVIDIA GPU on Linux. See the `release notes <https://github.com/mozilla/DeepSpeech/releases/latest>`_ to find which GPUs are supported. To run ``deepspeech`` on a GPU, install the GPU specific package:
|
||||
Quicker inference can be performed using a supported NVIDIA GPU on Linux. See the `release notes <https://github.com/mozilla/DeepSpeech/releases/latest>`_ to find which GPUs are supported. To run ``mozilla_voice_stt`` on a GPU, install the GPU specific package:
|
||||
|
||||
.. code-block:: bash
|
||||
|
||||
# Create and activate a virtualenv
|
||||
virtualenv -p python3 $HOME/tmp/deepspeech-gpu-venv/
|
||||
source $HOME/tmp/deepspeech-gpu-venv/bin/activate
|
||||
virtualenv -p python3 $HOME/tmp/stt-gpu-venv/
|
||||
source $HOME/tmp/stt-gpu-venv/bin/activate
|
||||
|
||||
# Install Mozilla Voice STT CUDA enabled package
|
||||
pip3 install deepspeech-gpu
|
||||
pip3 install mozilla_voice_stt_cuda
|
||||
|
||||
# Transcribe an audio file.
|
||||
deepspeech --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio audio/2830-3980-0043.wav
|
||||
mozilla_voice_stt --model deepspeech-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio audio/2830-3980-0043.wav
|
||||
|
||||
Please ensure you have the required :ref:`CUDA dependencies <cuda-deps>`.
|
||||
|
||||
See the output of ``deepspeech -h`` for more information on the use of ``deepspeech``. (If you experience problems running ``deepspeech``, please check :ref:`required runtime dependencies <runtime-deps>`).
|
||||
See the output of ``mozilla_voice_stt -h`` for more information on the use of ``mozilla_voice_stt``. (If you experience problems running ``mozilla_voice_stt``, please check :ref:`required runtime dependencies <runtime-deps>`).
|
||||
|
||||
.. toctree::
|
||||
:maxdepth: 2
|
||||
|
||||
@ -19,11 +19,8 @@ from six.moves import zip, range
|
||||
|
||||
r'''
|
||||
This module should be self-contained:
|
||||
- build libmozilla_voice_stt.so with TFLite:
|
||||
- bazel build [...] --define=runtime=tflite [...] //native_client:libmozilla_voice_stt.so
|
||||
- make -C native_client/python/ TFDIR=... bindings
|
||||
- setup a virtualenv
|
||||
- pip install native_client/python/dist/deepspeech*.whl
|
||||
- pip install mozilla_voice_stt_tflite
|
||||
- pip install -r requirements_eval_tflite.txt
|
||||
|
||||
Then run with a TF Lite model, a scorer and a CSV test file
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
Examples
|
||||
========
|
||||
|
||||
DeepSpeech examples were moved to a separate repository.
|
||||
Mozilla Voice STT examples were moved to a separate repository.
|
||||
|
||||
New location: https://github.com/mozilla/DeepSpeech-examples
|
||||
|
||||
@ -1,5 +1,5 @@
|
||||
This file contains some notes on coding style within the C++ portion of the
|
||||
DeepSpeech project. It is very much a work in progress and incomplete.
|
||||
Mozilla Voice STT project. It is very much a work in progress and incomplete.
|
||||
|
||||
General
|
||||
=======
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
absl-py==0.9.0
|
||||
attrdict==2.0.1
|
||||
deepspeech
|
||||
mozilla_voice_stt_tflite
|
||||
numpy==1.16.0
|
||||
progressbar2==3.47.0
|
||||
python-utils==2.3.0
|
||||
|
||||
@ -26,7 +26,7 @@ then:
|
||||
DEEPSPEECH_AUDIO: "https://github.com/mozilla/DeepSpeech/releases/download/v0.4.1/audio-0.4.1.tar.gz"
|
||||
PIP_DEFAULT_TIMEOUT: "60"
|
||||
EXAMPLES_CLONE_URL: "https://github.com/mozilla/DeepSpeech-examples"
|
||||
EXAMPLES_CHECKOUT_TARGET: "rename-test"
|
||||
EXAMPLES_CHECKOUT_TARGET: "master"
|
||||
|
||||
command:
|
||||
- "/bin/bash"
|
||||
|
||||
@ -7,4 +7,4 @@ source $(dirname "$0")/tc-tests-utils.sh
|
||||
mkdir -p ${TASKCLUSTER_ARTIFACTS} || true
|
||||
|
||||
# NodeJS package
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/mozilla_voice_stt-*.tgz ${TASKCLUSTER_ARTIFACTS}/
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/mozilla_voice_stt*.tgz ${TASKCLUSTER_ARTIFACTS}/
|
||||
|
||||
@ -14,7 +14,7 @@ package_libdeepspeech_as_zip "libmozilla_voice_stt.zip"
|
||||
|
||||
if [ -d ${DS_ROOT_TASK}/DeepSpeech/ds/wheels ]; then
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/wheels/* ${TASKCLUSTER_ARTIFACTS}/
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/mozilla_voice_stt-*.tgz ${TASKCLUSTER_ARTIFACTS}/
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/mozilla_voice_stt*.tgz ${TASKCLUSTER_ARTIFACTS}/
|
||||
fi;
|
||||
|
||||
if [ -f ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/wrapper.tar.gz ]; then
|
||||
|
||||
@ -17,9 +17,9 @@ do_deepspeech_python_build()
|
||||
|
||||
SETUP_FLAGS=""
|
||||
if [ "${package_option}" = "--cuda" ]; then
|
||||
SETUP_FLAGS="--project_name mozilla_voice_stt-gpu"
|
||||
SETUP_FLAGS="--project_name mozilla_voice_stt_cuda"
|
||||
elif [ "${package_option}" = "--tflite" ]; then
|
||||
SETUP_FLAGS="--project_name mozilla_voice_stt-tflite"
|
||||
SETUP_FLAGS="--project_name mozilla_voice_stt_tflite"
|
||||
fi
|
||||
|
||||
for pyver_conf in ${SUPPORTED_PYTHON_VERSIONS}; do
|
||||
@ -133,7 +133,7 @@ do_deepspeech_nodejs_build()
|
||||
done;
|
||||
|
||||
if [ "${rename_to_gpu}" = "--cuda" ]; then
|
||||
make -C native_client/javascript clean npm-pack PROJECT_NAME=mozilla_voice_stt-gpu
|
||||
make -C native_client/javascript clean npm-pack PROJECT_NAME=mozilla_voice_stt_cuda
|
||||
else
|
||||
make -C native_client/javascript clean npm-pack PROJECT_NAME=mozilla_voice_stt
|
||||
fi
|
||||
@ -165,9 +165,9 @@ do_deepspeech_npm_package()
|
||||
done;
|
||||
|
||||
if [ "${package_option}" = "--cuda" ]; then
|
||||
make -C native_client/javascript clean npm-pack PROJECT_NAME=mozilla_voice_stt-gpu
|
||||
make -C native_client/javascript clean npm-pack PROJECT_NAME=mozilla_voice_stt_cuda
|
||||
elif [ "${package_option}" = "--tflite" ]; then
|
||||
make -C native_client/javascript clean npm-pack PROJECT_NAME=mozilla_voice_stt-tflite
|
||||
make -C native_client/javascript clean npm-pack PROJECT_NAME=mozilla_voice_stt_tflite
|
||||
else
|
||||
make -C native_client/javascript clean npm-pack
|
||||
fi
|
||||
|
||||
@ -7,8 +7,8 @@ get_dep_npm_pkg_url()
|
||||
{
|
||||
local all_deps="$(curl -s https://community-tc.services.mozilla.com/api/queue/v1/task/${TASK_ID} | python -c 'import json; import sys; print(" ".join(json.loads(sys.stdin.read())["dependencies"]));')"
|
||||
|
||||
# We try "mozilla_voice_stt-tflite" and "mozilla_voice_stt-gpu" first and if we don't find it we try "mozilla_voice_stt"
|
||||
for pkg_basename in "mozilla_voice_stt-tflite" "mozilla_voice_stt-gpu" "mozilla_voice_stt"; do
|
||||
# We try "mozilla_voice_stt_tflite" and "mozilla_voice_stt_cuda" first and if we don't find it we try "mozilla_voice_stt"
|
||||
for pkg_basename in "mozilla_voice_stt_tflite" "mozilla_voice_stt_cuda" "mozilla_voice_stt"; do
|
||||
local deepspeech_pkg="${pkg_basename}-${DS_VERSION}.tgz"
|
||||
for dep in ${all_deps}; do
|
||||
local has_artifact=$(curl -s https://community-tc.services.mozilla.com/api/queue/v1/task/${dep}/artifacts | python -c 'import json; import sys; has_artifact = True in [ e["name"].find("'${deepspeech_pkg}'") > 0 for e in json.loads(sys.stdin.read())["artifacts"] ]; print(has_artifact)')
|
||||
|
||||
@ -14,7 +14,7 @@ download_data
|
||||
virtualenv_activate "${pyalias}" "deepspeech"
|
||||
|
||||
if [ "$3" = "cuda" ]; then
|
||||
deepspeech_pkg_url=$(get_python_pkg_url "${pyver_pkg}" "${py_unicode_type}" "mozilla_voice_stt_gpu")
|
||||
deepspeech_pkg_url=$(get_python_pkg_url "${pyver_pkg}" "${py_unicode_type}" "mozilla_voice_stt_cuda")
|
||||
else
|
||||
deepspeech_pkg_url=$(get_python_pkg_url "${pyver_pkg}" "${py_unicode_type}")
|
||||
fi;
|
||||
|
||||
@ -22,5 +22,5 @@ fi;
|
||||
|
||||
if [ -f ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/wrapper.tar.gz ]; then
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/wrapper.tar.gz ${TASKCLUSTER_ARTIFACTS}/
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/mozilla_voice_stt-*.tgz ${TASKCLUSTER_ARTIFACTS}/
|
||||
cp ${DS_ROOT_TASK}/DeepSpeech/ds/native_client/javascript/mozilla_voice_stt*.tgz ${TASKCLUSTER_ARTIFACTS}/
|
||||
fi;
|
||||
|
||||
@ -47,14 +47,14 @@ def check_ctcdecoder_version():
|
||||
from ds_ctcdecoder import __version__ as decoder_version
|
||||
except ImportError as e:
|
||||
if e.msg.find('__version__') > 0:
|
||||
print("DeepSpeech version ({ds_version}) requires CTC decoder to expose __version__. "
|
||||
print("Mozilla Voice STT version ({ds_version}) requires CTC decoder to expose __version__. "
|
||||
"Please upgrade the ds_ctcdecoder package to version {ds_version}".format(ds_version=ds_version_s))
|
||||
sys.exit(1)
|
||||
raise e
|
||||
|
||||
rv = semver.compare(ds_version_s, decoder_version)
|
||||
if rv != 0:
|
||||
print("DeepSpeech version ({}) and CTC decoder version ({}) do not match. "
|
||||
print("Mozilla Voice STT version ({}) and CTC decoder version ({}) do not match. "
|
||||
"Please ensure matching versions are in use.".format(ds_version_s, decoder_version))
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user