Bump version to v0.6.1

README.rst

@@ -14,7 +14,7 @@ Project DeepSpeech
 
 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.
 
-**NOTE:** This documentation applies to the **master branch** of DeepSpeech only. If you're using a stable release, you must use the documentation for the corresponding version by using GitHub's branch switcher button above.
+**NOTE:** This documentation applies to the **v0.6.1 version** of DeepSpeech only. If you're using a stable release, you must use the documentation for the corresponding version by using GitHub's branch switcher button above.
 
 To install and use deepspeech all you have to do is:
 
@@ -28,15 +28,15 @@ To install and use deepspeech all you have to do is:
    pip3 install deepspeech
 
    # Download pre-trained English model and extract
-   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.6.0/deepspeech-0.6.0-models.tar.gz
-   tar xvf deepspeech-0.6.0-models.tar.gz
+   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.6.1/deepspeech-0.6.1-models.tar.gz
+   tar xvf deepspeech-0.6.1-models.tar.gz
 
    # Download example audio files
-   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.6.0/audio-0.6.0.tar.gz
-   tar xvf audio-0.6.0.tar.gz
+   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.6.1/audio-0.6.1.tar.gz
+   tar xvf audio-0.6.1.tar.gz
 
    # Transcribe an audio file
-   deepspeech --model deepspeech-0.6.0-models/output_graph.pbmm --lm deepspeech-0.6.0-models/lm.binary --trie deepspeech-0.6.0-models/trie --audio audio/2830-3980-0043.wav
+   deepspeech --model deepspeech-0.6.1-models/output_graph.pbmm --lm deepspeech-0.6.1-models/lm.binary --trie deepspeech-0.6.1-models/trie --audio audio/2830-3980-0043.wav
 
 A pre-trained English model is available for use and can be downloaded using `the instructions below <doc/USING.rst#using-a-pre-trained-model>`_. A package with some example audio files is available for download in our `release notes <https://github.com/mozilla/DeepSpeech/releases/latest>`_.
 
@@ -52,7 +52,7 @@ Quicker inference can be performed using a supported NVIDIA GPU on Linux. See th
    pip3 install deepspeech-gpu
 
    # Transcribe an audio file.
-   deepspeech --model deepspeech-0.6.0-models/output_graph.pbmm --lm deepspeech-0.6.0-models/lm.binary --trie deepspeech-0.6.0-models/trie --audio audio/2830-3980-0043.wav
+   deepspeech --model deepspeech-0.6.1-models/output_graph.pbmm --lm deepspeech-0.6.1-models/lm.binary --trie deepspeech-0.6.1-models/trie --audio audio/2830-3980-0043.wav
 
 Please ensure you have the required `CUDA dependencies <doc/USING.rst#cuda-dependency>`_.
 

VERSION

@@ -1 +1 @@
-0.6.1-alpha.0
+0.6.1

doc/USING.rst

@@ -32,8 +32,8 @@ If you want to use the pre-trained English model for performing speech-to-text,
 
 .. code-block:: bash
 
-   wget https://github.com/mozilla/DeepSpeech/releases/download/v0.6.0/deepspeech-0.6.0-models.tar.gz
-   tar xvfz deepspeech-0.6.0-models.tar.gz
+   wget https://github.com/mozilla/DeepSpeech/releases/download/v0.6.1/deepspeech-0.6.1-models.tar.gz
+   tar xvfz deepspeech-0.6.1-models.tar.gz
 
 Model compatibility
 ^^^^^^^^^^^^^^^^^^^