GitHub topics: speech-emotion-using-cnn
AritraAmbudhDutta/Speech-Emotion-Recognition-on-RAVDESS-Dataset
Speech Emotion Recognition system using CNN architecture to classify 8 emotions from audio recordings (RAVDESS dataset). Features depthwise separable convolutions for efficient audio analysis, reaching ~70% accuracy.
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syedissambukhari/speech-emotion-recognition-using-cnn
Deep Learning for Speech Emotion Recognition - Dive into the world of emotional resonance with our cutting-edge CNN-based Speech Emotion Recognition model, achieving an impressive 94% accuracy.
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yousefkotp/Speech-Emotion-Recognition
Exploration of different audio features and CNN-based architectures for building an effective Speech Emotion Recognition (SER) system. The goal is to improve the accuracy of detecting emotions embedded in speech signals. The repository contains code, notebook, and detailed explanations of the experiments conducted.
Language: Jupyter Notebook - Size: 44.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
