DeepEmotion AI is a real-time voice emotion detection and distress alert system built with Python, Flask, TensorFlow/Keras, Librosa, Whisper, and Chart.js. This project analyzes speech audio to detect ...

As shown in Figure 4a, the feature extraction using MFCC includes the steps such as pre-emphasis, framing the signal, windowing, Fast Fourier Transform (FFT), Mel-Filter Bank, Logarithm, Discrete ...

voice_sentiment_analysis/ ├── app.py # Flask application ├── train_model.py # Model training script ├── predict.py # Prediction utilities ├── audio_features.py # Feature extraction ├── config.py # ...