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RNN to classify accents by using YouTube Biritsh and American training samples

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Sound Classification

This recurrent neural network tries to differentiate between sounds. The RNN is trained by using example data provided in the repo. in Sound-Data folder.


Installation

> - Clone Repository
> - Install Dependencies

Training

> - python main.py -m train

Testing

> - python main.py -m pred -u <model ID from trained model here>

Dependiencies

tensorflow
numpy
librosa
matplotlib
tqdm
uuid

Example

The RNN successfully classificated 1.wav as label 0 in class dictionary img_pred

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RNN to classify accents by using YouTube Biritsh and American training samples

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