Branding cleanup

Remove Mozilla trademarks.

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 DeepSpeech.
 
 To appear
 ==========

doc/TRAINING.rst

@@ -245,7 +245,7 @@ N.B. - If you have access to a pre-trained model which uses UTF-8 bytes at the o
 Fine-Tuning (same alphabet)
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-If you'd like to use one of the pre-trained models released by Mozilla to bootstrap your training process (fine tuning), you can do so by using the ``--checkpoint_dir`` flag in ``DeepSpeech.py``. Specify the path where you downloaded the checkpoint from the release, and training will resume from the pre-trained model.
+If you'd like to use one of the pre-trained models to bootstrap your training process (fine tuning), you can do so by using the ``--checkpoint_dir`` flag in ``DeepSpeech.py``. Specify the path where you downloaded the checkpoint from the release, and training will resume from the pre-trained model.
 
 For example, if you want to fine tune the entire graph using your own data in ``my-train.csv``\ , ``my-dev.csv`` and ``my-test.csv``\ , for three epochs, you can something like the following, tuning the hyperparameters as needed:
 

doc/conf.py

@@ -46,8 +46,8 @@ import semver
 # -- Project information -----------------------------------------------------
 
 project = u'DeepSpeech'
-copyright = '2019-2020, Mozilla Corporation'
-author = 'Mozilla Corporation'
+copyright = '2019-2020 Mozilla Corporation, 2020 DeepSpeech authors'
+author = 'DeepSpeech authors'
 
 with open('../VERSION', 'r') as ver:
     v = ver.read().strip()
@@ -175,7 +175,7 @@ latex_elements = {
 #  author, documentclass [howto, manual, or own class]).
 latex_documents = [
     (master_doc, 'DeepSpeech.tex', u'DeepSpeech Documentation',
-     u'Mozilla Research', 'manual'),
+     u'DeepSpeech authors', 'manual'),
 ]
 
 

native_client/dotnet/DeepSpeechClient/Interfaces/IDeepSpeech.cs

@@ -5,7 +5,7 @@ using System.IO;
 namespace DeepSpeechClient.Interfaces
 {
     /// <summary>
-    /// Client interface of Mozilla's DeepSpeech implementation.
+    /// Client interface for DeepSpeech
     /// </summary>
     public interface IDeepSpeech : IDisposable
     {

native_client/dotnet/README.rst

@@ -61,7 +61,7 @@ There should already be a symbolic link, for this example let's suppose that we
    ├── D:\
    │   ├── cloned                 # Contains DeepSpeech and tensorflow side by side
    │   │   └── DeepSpeech         # Root of the cloned DeepSpeech
-   │   │       ├── tensorflow     # Root of the cloned Mozilla's tensorflow 
+   │   │       ├── tensorflow     # Root of the cloned mozilla/tensorflow 
    └── ...
 
 

native_client/dotnet/nupkg/deepspeech.nuspec.in

@@ -4,13 +4,13 @@
     <id>$NUPKG_ID</id>
     <version>$NUPKG_VERSION</version>
     <title>DeepSpeech</title>
-    <authors>Mozilla</authors>
-    <owners>Mozilla</owners>
+    <authors>DeepSpeech authors</authors>
+    <owners>DeepSpeech authors</owners>
     <license type="expression">MPL-2.0</license>
     <projectUrl>http://github.com/mozilla/DeepSpeech</projectUrl>
     <requireLicenseAcceptance>false</requireLicenseAcceptance>
     <description>A library for running inference with a DeepSpeech model</description>
-    <copyright>Copyright (c) 2019 Mozilla Corporation</copyright>
+    <copyright>Copyright (c) 2019-2020 Mozilla Corporation, 2020 DeepSpeech authors</copyright>
     <tags>native speech speech_recognition</tags>
   </metadata>
   <files>

native_client/java/libdeepspeech/build.gradle

@@ -96,7 +96,7 @@ uploadArchives {
                 developers {
                     developer {
                         id 'deepspeech'
-                        name 'Mozilla DeepSpeech Team'
+                        name 'DeepSpeech authors'
                         email 'deepspeechs@lists.mozilla.org'
                     }
                 }

native_client/javascript/package.json.in

@@ -7,7 +7,7 @@
     "bin": {
        "deepspeech": "./client.js"
     },
-    "author" : "Mozilla",
+    "author" : "DeepSpeech authors",
     "license": "MPL-2.0",
     "homepage": "https://github.com/mozilla/DeepSpeech/tree/v$(PROJECT_VERSION)#project-deepspeech",
     "files": [

native_client/swift/deepspeech-ios.podspec

@@ -7,7 +7,7 @@ Pod::Spec.new do |s|
   s.summary      = "DeepSpeech"
   s.homepage     = "https://github.com/mozilla/DeepSpeech"
   s.license      = "Mozilla Public License 2.0"
-  s.authors      = "Mozilla et al."
+  s.authors      = "DeepSpeech authors"
 
   s.platforms    = { :ios => "9.0" }
   s.source       = { :git => "https://github.com/mozilla/DeepSpeech.git", :tag => "v#{s.version}" }

setup.py

@@ -98,9 +98,9 @@ def main():
     setup(
         name='deepspeech_training',
         version=version,
-        description='Training code for mozilla DeepSpeech',
+        description='Training code for DeepSpeech',
         url='https://github.com/mozilla/DeepSpeech',
-        author='Mozilla',
+        author='DeepSpeech authors',
         license='MPL-2.0',
         # Classifiers help users find your project by categorizing it.
         #