diff --git a/doc/TRAINING.rst b/doc/TRAINING.rst index ba38b64b8e..581af56945 100644 --- a/doc/TRAINING.rst +++ b/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 `_): +Clone the latest released stable branch from Github (e.g. 0.9.1, check `here `_): .. 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. diff --git a/doc/USING.rst b/doc/USING.rst index 12519980a9..0ad93eb4a5 100644 --- a/doc/USING.rst +++ b/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 `_. 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. diff --git a/doc/index.rst b/doc/index.rst index e8991d3f58..206425d0f8 100644 --- a/doc/index.rst +++ b/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 `. For the latest release, including pre-trained models and checkpoints, `see the GitHub releases page `_. @@ -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 `. diff --git a/native_client/swift/deepspeech_ios_test/SpeechRecognitionImpl.swift b/native_client/swift/deepspeech_ios_test/SpeechRecognitionImpl.swift index b3a4ac9bfd..35dfe0a6d7 100644 --- a/native_client/swift/deepspeech_ios_test/SpeechRecognitionImpl.swift +++ b/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) diff --git a/training/deepspeech_training/VERSION b/training/deepspeech_training/VERSION index ac39a106c4..f374f6662e 100644 --- a/training/deepspeech_training/VERSION +++ b/training/deepspeech_training/VERSION @@ -1 +1 @@ -0.9.0 +0.9.1