bolajixi/Mulitimodal-Speech-Emotion-Recognition
A Tensorflow implementation of Speech Emotion Recognition using Audio signals and Text Data
This tool helps analyze human speech to detect underlying emotions by combining what is said with how it is said. It takes audio recordings and their corresponding text transcripts as input to identify emotions like happiness, sadness, or anger. Call center managers, market researchers, or mental health professionals could use this to understand emotional tone.
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Use this if you need to automatically detect and categorize emotions from spoken conversations, leveraging both the words and the vocal delivery.
Not ideal if you only have audio or only text, as it requires both modalities to function effectively.
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May 16, 2022
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