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Simple automated speech recogition using tensorflow and keras

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Simple Automatic Speech Recognition

The aim of the project is to build a simple automatic speech recogintion model that can correctly classify the simple voice commands ["up", "down" ,"left" , "right"]

Data Source:

Kaggle Commands Recognition

Startup the project

The initial setup.

Create virtualenv and install the project:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
    pip install pip -U; pip install -r requirements.txt

Unittest test:

make clean install test

Check for simple_ASR in github.com/{username}. If your project is not set please add it:

  • Create a new project on github.com/{username}/simple_ASR
  • Then populate it:
##   e.g. if username is "{group}" and project_name is "simple_ASR"
git remote add origin [email protected]:{username}/simple_ASR.git
git push -u origin master
git push -u origin --tags

Functionnal test with a script:

cd
mkdir tmp
cd tmp
simple_ASR-run

Install

Go to https://github.com/lee-noidas/simple_ASR to see the project, manage issues, setup you ssh public key, ...

Create a python3 virtualenv and activate it:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate

Clone the project and install it:

git clone [email protected]:lee-onidas/simple_ASR.git
cd simple_ASR
pip install -r requirements.txt
make clean install test                # install and test

Functionnal test with a script:

cd
mkdir tmp
cd tmp
simple_ASR-run

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