https://github.com/billy-enrizky/speech-emotion-recognition
This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing
https://github.com/billy-enrizky/speech-emotion-recognition
deep-learning emotion-recognition lstm-neural-networks mfcc-analysis ravdess-dataset speech-recognition streamlit
Last synced: 3 months ago
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This project focuses on real-time Speech Emotion Recognition (SER) using the "ravdess-emotional-speech-audio" dataset. Leveraging essential libraries and Long Short-Term Memory (LSTM) networks, it processes diverse emotional states expressed in 1440 audio files. Professional actors ensure controlled representation, with 24 actors contributing
- Host: GitHub
- URL: https://github.com/billy-enrizky/speech-emotion-recognition
- Owner: billy-enrizky
- License: mit
- Created: 2024-01-04T02:56:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-04T03:22:13.000Z (over 1 year ago)
- Last Synced: 2024-01-05T04:22:39.183Z (over 1 year ago)
- Topics: deep-learning, emotion-recognition, lstm-neural-networks, mfcc-analysis, ravdess-dataset, speech-recognition, streamlit
- Language: HTML
- Homepage: https://billy-enrizky.github.io/Speech-Emotion-Recognition/
- Size: 1.64 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0