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# Emotion Recognition from Audio using Deep Learning | ||
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This project aims to recognize emotions from audio files using deep learning. The pipeline includes loading and processing audio data, visualizing waveforms and spectrograms, extracting MFCC features, and training a neural network model. | ||
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Dataset Download link: https://www.kaggle.com/ejlok1/toronto-emotional-speech-set-tess More Datasets: https://www.kaggle.com/dmitrybabko/speech-emotion-recognition-en | ||
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## Project Structure | ||
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my_project/ | ||
│ | ||
├── dataset/ | ||
│ | ||
├── main.ipynb | ||
├── README.md | ||
└── requirements.txt | ||
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## Installation | ||
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1. Clone the repository | ||
```sh | ||
https://github.com/ChethanaPotukanam/DL-Simplified/tree/main/Emotion_Recognition_Audio | ||
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#### To install the required packages | ||
pip install -r requirements.txt |