Emonity

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Emonity is a deep learning-powered Speech Emotion Recognition (SER) system built with PyTorch. It uses MFCCs, log-mel spectrograms, and advanced models (1D CNN, 2D CNN, CNN-BiLSTM) to classify emotions from speech with high accuracy. Supports CREMA-D, RAVDESS, TESS, SAVEE datasets, real-time inference, and model ensemble.

audio-analysis bilstm cnn deep-learning machine-learning mfcc pytorch speech-emotion-recognition

Creat：2025-06-30T21:17:18

Update：2025-07-19T19:21:15

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