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- # Speech Emotion Recognition
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+ # Deep Learning for Speech Emotion Analysis
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+ ### Achieving 50.5% Accuracy on 8-Class Emotion Classification
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- <div align =" center " >
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- <h1 >Deep Learning for Speech Emotion Analysis</h1 >
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- <h3 >Achieving 50.5% Accuracy on 8-Class Emotion Classification</h3 >
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-
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- [ ![ Python] ( https://img.shields.io/badge/python-3.8%2B-blue.svg )] ( https://www.python.org/downloads/ )
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- [ ![ PyTorch] ( https://img.shields.io/badge/PyTorch-1.7%2B-red.svg )] ( https://pytorch.org/ )
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- [ ![ TensorFlow] ( https://img.shields.io/badge/TensorFlow-2.4%2B-orange.svg )] ( https://tensorflow.org/ )
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- [ ![ License] ( https://img.shields.io/badge/license-MIT-green.svg )] ( https://opensource.org/licenses/MIT )
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- </div >
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+ [ ![ Python] ( https://img.shields.io/badge/python-3.8%2B-blue.svg )] ( https://www.python.org/downloads/ )
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+ [ ![ PyTorch] ( https://img.shields.io/badge/PyTorch-1.7%2B-red.svg )] ( https://pytorch.org/ )
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+ [ ![ TensorFlow] ( https://img.shields.io/badge/TensorFlow-2.4%2B-orange.svg )] ( https://tensorflow.org/ )
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+ [ ![ License] ( https://img.shields.io/badge/license-MIT-green.svg )] ( https://opensource.org/licenses/MIT )
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## 👤 About this Project
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