MeidanGR/SpeechEmotionRecognition_Realtime
Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).
This tool helps you instantly understand the emotional tone of spoken words. It takes live audio from a microphone and tells you what emotions are being expressed, such as happiness, sadness, or anger. It's designed for anyone who needs to monitor or analyze the emotional content of speech as it happens.
115 stars. No commits in the last 6 months.
Use this if you need to detect emotions from live voice input in real-time, for applications like customer service monitoring, user experience analysis, or interactive voice systems.
Not ideal if you need to analyze emotions from pre-recorded audio files, or if you require extremely high accuracy for subtle emotional nuances beyond basic categories.
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Last pushed
Mar 06, 2022
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