@@ -31,10 +31,6 @@ TensorFlowASR implements some automatic speech recognition architectures such as
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- [ Baselines] ( #baselines )
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- [ Publications] ( #publications )
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- [ Installation] ( #installation )
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- - [ Installing from source (recommended)] ( #installing-from-source-recommended )
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- - [ Installing via PyPi] ( #installing-via-pypi )
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- - [ Installing for development] ( #installing-for-development )
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- - [ Running in a container] ( #running-in-a-container )
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- [ Training \& Testing Tutorial] ( #training--testing-tutorial )
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- [ Features Extraction] ( #features-extraction )
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- [ Augmentations] ( #augmentations )
@@ -79,45 +75,13 @@ For training and testing, you should use `git clone` for installing necessary pa
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See the ` requirements.[extra].txt ` files for extra dependencies
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- ### Installing from source (recommended)
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-
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- ``` bash
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- git clone https://github.com/TensorSpeech/TensorFlowASR.git
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- cd TensorFlowASR
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- pip3 install -e . # or ".[cuda]" if using GPU
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- ```
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-
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- For ** anaconda3** :
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-
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- ``` bash
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- conda create -y -n tfasr python=3.11 # tensorflow if using CPU, this makes sure conda install all dependencies for tensorflow
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- conda activate tfasr
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- git clone https://github.com/TensorSpeech/TensorFlowASR.git
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- cd TensorFlowASR
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- pip3 install -e . # or ".[cuda]" if using GPU
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- ```
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-
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- For ** colab with TPUs** :
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-
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- ``` bash
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- pip3 install -e " .[tpu]" -f https://storage.googleapis.com/libtpu-tf-releases/index.html
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- ```
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-
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- ### Installing via PyPi
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-
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- ``` bash
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- pip3 install " TensorFlowASR" # or "TensorFlowASR[cuda]" if using GPU
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- ```
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-
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- ### Installing for development
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-
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``` bash
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git clone https://github.com/TensorSpeech/TensorFlowASR.git
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cd TensorFlowASR
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- pip3 install -e " . [apple, dev]"
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+ ./setup.sh [apple| tpu | gpu] [ dev]
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```
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- ### Running in a container
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+ ** Running in a container**
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``` bash
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docker-compose up -d
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