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@ -19,7 +19,7 @@ tasks:
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- push
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- tag
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branches:
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- master
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- r0.9
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scopes: [
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"queue:create-task:highest:proj-deepspeech/*",
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@ -32,7 +32,7 @@ tasks:
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payload:
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maxRunTime: 600
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image: "ubuntu:16.04"
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image: "ubuntu:18.04"
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features:
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taskclusterProxy: true
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@ -45,7 +45,7 @@ tasks:
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- "--login"
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- "-cxe"
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- >
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echo "deb http://archive.ubuntu.com/ubuntu/ xenial-updates main" > /etc/apt/sources.list.d/xenial-updates.list &&
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echo "deb http://archive.ubuntu.com/ubuntu/ bionic-updates main" > /etc/apt/sources.list.d/bionic-updates.list &&
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apt-get -qq update && apt-get -qq -y install git python3-pip curl sudo &&
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adduser --system --home /home/build-user build-user &&
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cd /home/build-user/ &&
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@ -15,11 +15,11 @@ Prerequisites for training a model
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Getting the training code
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^^^^^^^^^^^^^^^^^^^^^^^^^
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Clone the latest released stable branch from Github (e.g. 0.9.2, check `here <https://github.com/mozilla/DeepSpeech/releases>`_):
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Clone the latest released stable branch from Github (e.g. 0.9.3, check `here <https://github.com/mozilla/DeepSpeech/releases>`_):
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.. code-block:: bash
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git clone --branch v0.9.2 https://github.com/mozilla/DeepSpeech
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git clone --branch v0.9.3 https://github.com/mozilla/DeepSpeech
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If you plan on committing code or you want to report bugs, please use the master branch.
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@ -37,8 +37,8 @@ If you want to use the pre-trained English model for performing speech-to-text,
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.. code-block:: bash
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wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.pbmm
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wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.scorer
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wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.pbmm
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wget https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.scorer
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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`.
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@ -136,7 +136,7 @@ Note: the following command assumes you `downloaded the pre-trained model <#gett
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.. code-block:: bash
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deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-models.scorer --audio my_audio_file.wav
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deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio my_audio_file.wav
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The ``--scorer`` argument is optional, and represents an external language model to be used when transcribing the audio.
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@ -200,7 +200,7 @@ Note: the following command assumes you `downloaded the pre-trained model <#gett
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.. code-block:: bash
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./deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-models.scorer --audio audio_input.wav
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./deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio audio_input.wav
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See the help output with ``./deepspeech -h`` for more details.
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@ -1 +1 @@
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Subproject commit df643fca46b4d8ab654f547ef2e36132f1154412
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Subproject commit 2b6ca883c073a7def7766dbbbd5d0d28fb84e612
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@ -20,15 +20,15 @@ To install and use DeepSpeech all you have to do is:
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pip3 install deepspeech
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# Download pre-trained English model files
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curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.pbmm
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curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/deepspeech-0.9.1-models.scorer
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curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.pbmm
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curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/deepspeech-0.9.3-models.scorer
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# Download example audio files
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curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.1/audio-0.9.1.tar.gz
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tar xvf audio-0.9.1.tar.gz
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curl -LO https://github.com/mozilla/DeepSpeech/releases/download/v0.9.3/audio-0.9.3.tar.gz
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tar xvf audio-0.9.3.tar.gz
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# Transcribe an audio file
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deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-models.scorer --audio audio/2830-3980-0043.wav
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deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio audio/2830-3980-0043.wav
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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>`_.
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@ -44,7 +44,7 @@ Quicker inference can be performed using a supported NVIDIA GPU on Linux. See th
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pip3 install deepspeech-gpu
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# Transcribe an audio file.
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deepspeech --model deepspeech-0.9.1-models.pbmm --scorer deepspeech-0.9.1-models.scorer --audio audio/2830-3980-0043.wav
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deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio audio/2830-3980-0043.wav
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Please ensure you have the required :ref:`CUDA dependencies <cuda-inference-deps>`.
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@ -26,8 +26,8 @@ class SpeechRecognitionImpl : NSObject, AVCaptureAudioDataOutputSampleBufferDele
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private var audioData = Data()
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override init() {
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let modelPath = Bundle.main.path(forResource: "deepspeech-0.9.1-models", ofType: "tflite")!
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let scorerPath = Bundle.main.path(forResource: "deepspeech-0.9.1-models", ofType: "scorer")!
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let modelPath = Bundle.main.path(forResource: "deepspeech-0.9.2-models", ofType: "tflite")!
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let scorerPath = Bundle.main.path(forResource: "deepspeech-0.9.2-models", ofType: "scorer")!
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model = try! DeepSpeechModel(modelPath: modelPath)
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try! model.enableExternalScorer(scorerPath: scorerPath)
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@ -26,7 +26,7 @@ then:
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DEEPSPEECH_AUDIO: "https://github.com/mozilla/DeepSpeech/releases/download/v0.4.1/audio-0.4.1.tar.gz"
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PIP_DEFAULT_TIMEOUT: "60"
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EXAMPLES_CLONE_URL: "https://github.com/mozilla/DeepSpeech-examples"
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EXAMPLES_CHECKOUT_TARGET: "master"
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EXAMPLES_CHECKOUT_TARGET: "r0.9"
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command:
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- "/bin/bash"
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@ -12,4 +12,4 @@ taskcluster:
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- push
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- tag
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branches:
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- master
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- r0.9
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@ -34,7 +34,7 @@ payload:
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MSYS: 'winsymlinks:nativestrict'
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GIT_LFS_SKIP_SMUDGE: '1'
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EXAMPLES_CLONE_URL: "https://github.com/mozilla/DeepSpeech-examples"
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EXAMPLES_CHECKOUT_TARGET: "master"
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EXAMPLES_CHECKOUT_TARGET: "r0.9"
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command:
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- >-
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@ -1 +1 @@
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0.9.0-alpha.10
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0.9.3
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Loading…
Reference in New Issue
Block a user