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Bump VERSION to 0.9.1

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This commit is contained in:
Reuben Morais 2020-11-04 13:42:40 +01:00
parent 7cdb5b1ed9
commit ab8bd3e11c
5 changed files with 15 additions and 15 deletions
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4
doc/TRAINING.rst
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@ -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.

8
doc/USING.rst
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@ -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.

12
doc/index.rst
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@ -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>`.

4
native_client/swift/deepspeech_ios_test/SpeechRecognitionImpl.swift
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@ -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)

2
training/deepspeech_training/VERSION
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@ -1 +1 @@
0.9.0
0.9.1