KhadijehValipour / Audio_Classification

One of the most widely used applications in Deep Learning is Audio classification, in which the model learns to classify sounds based on audio features. When given the input, it will predict the label for that audio feature.

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Audio Classification

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Our goal is audio classification on the sound.

How to install

pip install -r requirements.txt

How to create dataset

You can use the dataset that I uploaded on the kaggle site

nbconvert (a jupyter tool for notebook conversion) allows you to do this without any extra packages:

Just go to your terminal and type

jupyter nbconvert --to notebook --inplace --execute make_dataset.ipynb

How to train

jupyter nbconvert --to notebook --inplace --execute train.ipynb

You can download the weight of the pre-trained voice classification model from this link

About

One of the most widely used applications in Deep Learning is Audio classification, in which the model learns to classify sounds based on audio features. When given the input, it will predict the label for that audio feature.


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Language:Jupyter Notebook 99.8%Language:Python 0.2%