AryaAftab/LIGHT-SERNET
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
This project helps you automatically identify emotions from spoken audio, even on devices with limited computing power. You provide audio recordings, and it tells you the emotional content. It's designed for engineers or researchers building applications that need to understand how people are feeling based on their voice.
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Use this if you need an efficient and accurate way to classify emotions from speech in applications like call center analytics, interactive voice assistants, or smart devices where computational resources are constrained.
Not ideal if you need to analyze emotions from text, facial expressions, or other non-speech forms of data.
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83
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26
Language
Python
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Last pushed
May 25, 2022
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