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
amanbasu/speech-emotion-recognition
Detecting emotions using MFCC features of human speech using Deep Learning
This project helps you analyze human speech to detect underlying emotions. You provide raw audio recordings, and it classifies the speaker's emotion as happy, sad, angry, frustrated, neutral, or fear. This tool is useful for anyone working with spoken interactions, such as customer service managers, qualitative researchers, or content creators.
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