Ztrimus/speech-emotion-recognition
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
This project helps researchers and developers understand and categorize human emotions present in speech signals. By inputting audio recordings, it outputs predictions of emotions like disgust, fear, anger, and sadness. It is designed for those exploring new approaches in emotion recognition research or building applications that require sentiment analysis from spoken words.
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Use this if you are a researcher or developer experimenting with speech emotion recognition and need a baseline model to detect emotions from audio data.
Not ideal if you need highly accurate emotion detection for all emotions, especially 'surprise' or 'happy', or if you are working with noisy audio environments.
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Last pushed
Aug 02, 2024
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