GitHub / 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.
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PURL: pkg:github/hallowshaw/Speech-Emotion-Recognition-with-MFCC
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 969 MB
Dependencies parsed at: Pending
Created at: 7 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: 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