Bump VERSION to 0.9.1

doc/TRAINING.rst

@@ -12,11 +12,11 @@ Prerequisites for training a model
 Getting the training code
 ^^^^^^^^^^^^^^^^^^^^^^^^^
 
-Clone the latest released stable branch from Github (e.g. 0.8.2, check `here <https://github.com/mozilla/DeepSpeech/releases>`_): 
+Clone the latest released stable branch from Github (e.g. 0.9.1, check `here <https://github.com/mozilla/DeepSpeech/releases>`_):
 
 .. code-block:: bash
 
-   git clone --branch v0.8.2 https://github.com/mozilla/DeepSpeech
+   git clone --branch v0.9.1 https://github.com/mozilla/DeepSpeech
 
 If you plan on committing code or you want to report bugs, please use the master branch.
 

doc/USING.rst

@@ -37,8 +37,8 @@ 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/v0.7.4/deepspeech-0.7.4-models.pbmm
-   wget https://github.com/mozilla/DeepSpeech/releases/download/v0.7.4/deepspeech-0.7.4-models.scorer
+   wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.pbmm
+   wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.scorer
 
 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`.
 
@@ -136,7 +136,7 @@ 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 my_audio_file.wav
+   deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-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.
 
@@ -200,7 +200,7 @@ 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
+   ./deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-models.scorer --audio audio_input.wav
 
 See the help output with ``./deepspeech -h`` for more details.
 

doc/index.rst

@@ -20,15 +20,15 @@ To install and use DeepSpeech all you have to do is:
    pip3 install deepspeech
 
    # Download pre-trained English model files
-   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.7.4/deepspeech-0.7.4-models.pbmm
-   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.7.4/deepspeech-0.7.4-models.scorer
+   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.pbmm
+   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.scorer
 
    # Download example audio files
-   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.7.4/audio-0.7.4.tar.gz
-   tar xvf audio-0.7.4.tar.gz
+   curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/audio-0.9.1.tar.gz
+   tar xvf audio-0.9.1.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
+   deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-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>`_.
 
@@ -44,7 +44,7 @@ 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-0.7.4-models.pbmm --scorer deepspeech-0.7.4-models.scorer --audio audio/2830-3980-0043.wav
+   deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-models.scorer --audio audio/2830-3980-0043.wav
 
 Please ensure you have the required :ref:`CUDA dependencies <cuda-deps>`.
 

native_client/swift/deepspeech_ios_test/SpeechRecognitionImpl.swift

@@ -26,8 +26,8 @@ class SpeechRecognitionImpl : NSObject, AVCaptureAudioDataOutputSampleBufferDele
     private var audioData = Data()
 
     override init() {
-        let modelPath = Bundle.main.path(forResource: "deepspeech-0.7.4-models", ofType: "tflite")!
-        let scorerPath = Bundle.main.path(forResource: "deepspeech-0.7.4-models", ofType: "scorer")!
+        let modelPath = Bundle.main.path(forResource: "deepspeech-0.9.1-models", ofType: "tflite")!
+        let scorerPath = Bundle.main.path(forResource: "deepspeech-0.9.1-models", ofType: "scorer")!
 
         model = try! DeepSpeechModel(modelPath: modelPath)
         try! model.enableExternalScorer(scorerPath: scorerPath)

training/deepspeech_training/VERSION

@@ -1 +1 @@
-0.9.0
+0.9.1