Address review comments

BIBLIOGRAPHY.md

@@ -1,5 +1,5 @@
 This file contains a list of papers in chronological order that have been published 
-using Mozilla's DeepSpeech.
+using Mozilla Voice STT.
 
 To appear
 ==========

README.rst

@@ -1,5 +1,5 @@
-Project DeepSpeech
-==================
+Mozilla Voice STT
+=================
 
 
 .. image:: https://readthedocs.org/projects/deepspeech/badge/?version=latest
@@ -12,7 +12,7 @@ Project DeepSpeech
    :alt: Task Status
 
 
-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.
+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.
 
 Documentation for installation, usage, and training models are available on `deepspeech.readthedocs.io <http://deepspeech.readthedocs.io/?badge=latest>`_.
 

doc/BUILDING.rst

@@ -99,7 +99,7 @@ Now, ``cd`` into the ``DeepSpeech/native_client`` directory and use the ``Makefi
 .. code-block::
 
    cd ../DeepSpeech/native_client
-   make deepspeech
+   make mozilla_voice_stt
 
 Installing your own Binaries
 ----------------------------
@@ -121,7 +121,7 @@ Included are a set of generated Python bindings. After following the above build
 
    cd native_client/python
    make bindings
-   pip install dist/deepspeech*
+   pip install dist/mozilla_voice_stt*
 
 The API mirrors the C++ API and is demonstrated in `client.py <python/client.py>`_. Refer to the `C API <c-usage>` for documentation.
 
@@ -175,13 +175,13 @@ And your command line for ``LePotato`` and ``ARM64`` should look like:
 
 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.
 
-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``.
+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``.
 The path of the system tree can be overridden from the default values defined in ``definitions.mk`` through the ``RASPBIAN`` ``make`` variable.
 
 .. code-block::
 
    cd ../DeepSpeech/native_client
-   make TARGET=<system> deepspeech
+   make TARGET=<system> mozilla_voice_stt
 
 Android devices support
 -----------------------
@@ -236,10 +236,10 @@ Please note that you might have to copy the file to a local Maven repository
 and adapt file naming (when missing, the error message should states what
 filename it expects and where).
 
-Building C++ ``deepspeech`` binary
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Building C++ ``mozilla_voice_stt`` binary
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-Building the ``deepspeech`` binary will happen through ``ndk-build`` (ARMv7):
+Building the ``mozilla_voice_stt`` binary will happen through ``ndk-build`` (ARMv7):
 
 .. code-block::
 
@@ -272,32 +272,32 @@ demo of one usage of the application. For example, it's only able to read PCM
 mono 16kHz 16-bits file and it might fail on some WAVE file that are not
 following exactly the specification.
 
-Running ``deepspeech`` via adb
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Running ``mozilla_voice_stt`` via adb
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 You should use ``adb push`` to send data to device, please refer to Android
 documentation on how to use that.
 
-Please push Mozilla Voice STT data to ``/sdcard/deepspeech/``\ , including:
+Please push Mozilla Voice STT data to ``/sdcard/mozilla_voice_stt/``\ , including:
 
 
 * ``output_graph.tflite`` which is the TF Lite model
 * External scorer file (available from one of our releases), if you want to use
   the scorer; please be aware that too big scorer will make the device run out
   of memory
 
-Then, push binaries from ``native_client.tar.xz`` to ``/data/local/tmp/ds``\ :
+Then, push binaries from ``native_client.tar.xz`` to ``/data/local/tmp/stt``\ :
 
-* ``deepspeech``
+* ``mozilla_voice_stt``
 * ``libmozilla_voice_stt.so``
 * ``libc++_shared.so``
 
 You should then be able to run as usual, using a shell from ``adb shell``\ :
 
 .. code-block::
 
-   user@device$ cd /data/local/tmp/ds/
-   user@device$ LD_LIBRARY_PATH=$(pwd)/ ./deepspeech [...]
+   user@device$ cd /data/local/tmp/stt/
+   user@device$ LD_LIBRARY_PATH=$(pwd)/ ./mozilla_voice_stt [...]
 
 Please note that Android linker does not support ``rpath`` so you have to set
 ``LD_LIBRARY_PATH``. Properly wrapped / packaged bindings does embed the library

doc/DotNet-API.rst

@@ -2,17 +2,17 @@
 ==============
 
 
-DeepSpeech Class
-----------------
+MozillaVoiceSttModel Class
+--------------------------
 
-.. doxygenclass:: DeepSpeechClient::DeepSpeech
+.. doxygenclass:: MozillaVoiceSttClient::MozillaVoiceSttModel
    :project: deepspeech-dotnet
    :members:
 
-DeepSpeechStream Class
-----------------------
+MozillaVoiceSttStream Class
+---------------------------
 
-.. doxygenclass:: DeepSpeechClient::Models::DeepSpeechStream
+.. doxygenclass:: MozillaVoiceSttClient::Models::MozillaVoiceSttStream
    :project: deepspeech-dotnet
    :members:
 
@@ -21,33 +21,33 @@ ErrorCodes
 
 See also the main definition including descriptions for each error in :ref:`error-codes`.
 
-.. doxygenenum:: DeepSpeechClient::Enums::ErrorCodes
+.. doxygenenum:: MozillaVoiceSttClient::Enums::ErrorCodes
    :project: deepspeech-dotnet
 
 Metadata
 --------
 
-.. doxygenclass:: DeepSpeechClient::Models::Metadata
+.. doxygenclass:: MozillaVoiceSttClient::Models::Metadata
    :project: deepspeech-dotnet
    :members: Transcripts
 
 CandidateTranscript
 -------------------
 
-.. doxygenclass:: DeepSpeechClient::Models::CandidateTranscript
+.. doxygenclass:: MozillaVoiceSttClient::Models::CandidateTranscript
    :project: deepspeech-dotnet
    :members: Tokens, Confidence
 
 TokenMetadata
 -------------
 
-.. doxygenclass:: DeepSpeechClient::Models::TokenMetadata
+.. doxygenclass:: MozillaVoiceSttClient::Models::TokenMetadata
    :project: deepspeech-dotnet
    :members: Text, Timestep, StartTime
 
-DeepSpeech Interface
---------------------
+IMozillaVoiceSttModel Interface
+-------------------------------
 
-.. doxygeninterface:: DeepSpeechClient::Interfaces::IDeepSpeech
+.. doxygeninterface:: MozillaVoiceSttClient::Interfaces::IMozillaVoiceSttModel
    :project: deepspeech-dotnet
    :members:

doc/DotNet-Examples.rst

@@ -1,12 +1,12 @@
 .NET API Usage example
 ======================
 
-Examples are from `native_client/dotnet/DeepSpeechConsole/Program.cs`.
+Examples are from `native_client/dotnet/MozillaVoiceSttConsole/Program.cs`.
 
 Creating a model instance and loading model
 -------------------------------------------
 
-.. literalinclude:: ../native_client/dotnet/DeepSpeechConsole/Program.cs
+.. literalinclude:: ../native_client/dotnet/MozillaVoiceSttConsole/Program.cs
    :language: csharp
    :linenos:
    :lineno-match:
@@ -16,7 +16,7 @@ Creating a model instance and loading model
 Performing inference
 --------------------
 
-.. literalinclude:: ../native_client/dotnet/DeepSpeechConsole/Program.cs
+.. literalinclude:: ../native_client/dotnet/MozillaVoiceSttConsole/Program.cs
    :language: csharp
    :linenos:
    :lineno-match:
@@ -26,4 +26,4 @@ Performing inference
 Full source code
 ----------------
 
-See :download:`Full source code<../native_client/dotnet/DeepSpeechConsole/Program.cs>`.
+See :download:`Full source code<../native_client/dotnet/MozillaVoiceSttConsole/Program.cs>`.

doc/Java-API.rst

@@ -1,29 +1,29 @@
 Java
 ====
 
-DeepSpeechModel
----------------
+MozillaVoiceSttModel
+--------------------
 
-.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::DeepSpeechModel
+.. doxygenclass:: org::mozilla::voice::stt::MozillaVoiceSttModel
    :project: deepspeech-java
    :members:
 
 Metadata
 --------
 
-.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::Metadata
+.. doxygenclass:: org::mozilla::voice::stt::Metadata
    :project: deepspeech-java
    :members: getNumTranscripts, getTranscript
 
 CandidateTranscript
 -------------------
 
-.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::CandidateTranscript
+.. doxygenclass:: org::mozilla::voice::stt::CandidateTranscript
    :project: deepspeech-java
    :members: getNumTokens, getConfidence, getToken
 
 TokenMetadata
 -------------
-.. doxygenclass:: org::mozilla::deepspeech::libdeepspeech::TokenMetadata
+.. doxygenclass:: org::mozilla::voice::stt::TokenMetadata
    :project: deepspeech-java
    :members: getText, getTimestep, getStartTime

doc/Java-Examples.rst

@@ -1,12 +1,12 @@
 Java API Usage example
 ======================
 
-Examples are from `native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java`.
+Examples are from `native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java`.
 
 Creating a model instance and loading model
 -------------------------------------------
 
-.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java
+.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java
    :language: java
    :linenos:
    :lineno-match:
@@ -16,7 +16,7 @@ Creating a model instance and loading model
 Performing inference
 --------------------
 
-.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java
+.. literalinclude:: ../native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java
    :language: java
    :linenos:
    :lineno-match:
@@ -26,4 +26,4 @@ Performing inference
 Full source code
 ----------------
 
-See :download:`Full source code<../native_client/java/app/src/main/java/org/mozilla/deepspeech/DeepSpeechActivity.java>`.
+See :download:`Full source code<../native_client/java/app/src/main/java/org/mozilla/voice/sttapp/MozillaVoiceSttActivity.java>`.

doc/ParallelOptimization.rst

@@ -1,8 +1,8 @@
 Parallel Optimization
 =====================
 
-This is how we implement optimization of the DeepSpeech model across GPUs on a
-single host. Parallel optimization can take on various forms. For example
+This is how we implement optimization of the Mozilla Voice STT model across GPUs
+on a single host. Parallel optimization can take on various forms. For example
 one can use asynchronous updates of the model, synchronous updates of the model,
 or some combination of the two.
 

doc/SUPPORTED_PLATFORMS.rst

@@ -9,61 +9,61 @@ Linux / AMD64 without GPU
 ^^^^^^^^^^^^^^^^^^^^^^^^^
 * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
 * Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
-* Full TensorFlow runtime (``deepspeech`` packages)
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 Linux / AMD64 with GPU
 ^^^^^^^^^^^^^^^^^^^^^^
 * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
 * Ubuntu 14.04+ (glibc >= 2.19, libstdc++6 >= 4.8)
 * CUDA 10.0 (and capable GPU)
-* Full TensorFlow runtime (``deepspeech`` packages)
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 Linux / ARMv7
 ^^^^^^^^^^^^^
 * Cortex-A53 compatible ARMv7 SoC with Neon support
 * Raspbian Buster-compatible distribution
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 Linux / Aarch64
 ^^^^^^^^^^^^^^^
 * Cortex-A72 compatible Aarch64 SoC
 * ARMbian Buster-compatible distribution
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 Android / ARMv7
 ^^^^^^^^^^^^^^^
 * ARMv7 SoC with Neon support
 * Android 7.0-10.0
 * NDK API level >= 21
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 Android / Aarch64
 ^^^^^^^^^^^^^^^^^
 * Aarch64 SoC
 * Android 7.0-10.0
 * NDK API level >= 21
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 macOS / AMD64
 ^^^^^^^^^^^^^
 * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
 * macOS >= 10.10
-* Full TensorFlow runtime (``deepspeech`` packages)
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 Windows / AMD64 without GPU
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
 * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
 * Windows Server >= 2012 R2 ; Windows >= 8.1
-* Full TensorFlow runtime (``deepspeech`` packages)
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)
 
 Windows / AMD64 with GPU
 ^^^^^^^^^^^^^^^^^^^^^^^^
 * x86-64 CPU with AVX/FMA (one can rebuild without AVX/FMA, but it might slow down inference)
 * Windows Server >= 2012 R2 ; Windows >= 8.1
 * CUDA 10.0 (and capable GPU)
-* Full TensorFlow runtime (``deepspeech`` packages)
-* TensorFlow Lite runtime (``deepspeech-tflite`` packages)
+* Full TensorFlow runtime (``mozilla_voice_stt`` packages)
+* TensorFlow Lite runtime (``mozilla_voice_stt_tflite`` packages)

doc/TRAINING.rst

@@ -21,11 +21,11 @@ Clone the Mozilla Voice STT repository:
 Creating a 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 ``$HOME/tmp/deepspeech-train-venv``. You can create it using this command:
+In creating a virtual environment you will create a directory containing a ``python3`` binary and everything needed to run Mozilla Voice STT. You can use whatever directory you want. For the purpose of the documentation, we will rely on ``$HOME/tmp/stt-train-venv``. You can create it using this command:
 
 .. code-block::
 
-   $ python3 -m venv $HOME/tmp/deepspeech-train-venv/
+   $ python3 -m venv $HOME/tmp/stt-train-venv/
 
 Once this command completes successfully, the environment will be ready to be activated.
 
@@ -36,7 +36,7 @@ Each time you need to work with Mozilla Voice STT, you have to *activate* this v
 
 .. code-block::
 
-   $ source $HOME/tmp/deepspeech-train-venv/bin/activate
+   $ source $HOME/tmp/stt-train-venv/bin/activate
 
 Installing Mozilla Voice STT Training Code and its dependencies
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^