emotion-recognition-using-speech and speech-emotion-recognition
About emotion-recognition-using-speech
x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
This tool helps you automatically identify human emotions from spoken audio. You input recorded speech files, and it tells you whether the speaker sounds happy, sad, angry, neutral, or other emotions. This is useful for anyone analyzing customer service interactions, psychological research, or market research to understand emotional responses.
About speech-emotion-recognition
benkhelifamohamedtaher/speech-emotion-recognition
Deep learning system for emotion recognition from speech, achieving 50.5% accuracy on 8-class classification using transformer architecture and real-time analysis
This project helps systems understand human emotions by analyzing spoken words. It takes audio input, like a live conversation or a recording, and identifies one of eight emotions (e.g., anger, happiness, sadness). This is useful for anyone building or managing virtual assistants, mental health support tools, or customer service platforms that need to respond appropriately to user feelings.
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