https://github.com/hallowshaw/speech-emotion-recognition-with-mfcc
A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
https://github.com/hallowshaw/speech-emotion-recognition-with-mfcc
crema-d kaggle-dataset librosa lstm matplotlib mel-frequency-cepstral-coefficient mfcc mfcc-algorithm python ravdees savee scikit-learn seaborn sentiment-analyser sentiment-analysis speech-emotion-regonition speech-sentiment-analysis tess voice-emotion-recognition voice-sentiment-analysis
Last synced: 3 months ago
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A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
- Host: GitHub
- URL: https://github.com/hallowshaw/speech-emotion-recognition-with-mfcc
- Owner: hallowshaw
- License: mit
- Created: 2024-12-28T15:18:36.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-12-28T16:23:12.000Z (5 months ago)
- Last Synced: 2025-01-05T19:16:08.270Z (5 months ago)
- Topics: crema-d, kaggle-dataset, librosa, lstm, matplotlib, mel-frequency-cepstral-coefficient, mfcc, mfcc-algorithm, python, ravdees, savee, scikit-learn, seaborn, sentiment-analyser, sentiment-analysis, speech-emotion-regonition, speech-sentiment-analysis, tess, voice-emotion-recognition, voice-sentiment-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 969 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE