Speech-Emotion-Analyzer and emotion-recognition-using-speech
About Speech-Emotion-Analyzer
MiteshPuthran/Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
This project helps businesses understand customer sentiment during calls or interactions. It takes audio speech as input and tells you if the speaker (male or female) is angry, calm, fearful, happy, or sad. Call center managers, marketers, or even product developers could use this to gauge emotional responses.
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.
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