Hannibal0420/Speech-Emotion-Recognition-TinyML
Speech Emotion Recognition using TinyML
This project helps developers and engineers create compact speech emotion recognition systems for small, low-power devices. It takes spoken audio as input and determines the emotion expressed (e.g., neutral, happy, sad, angry). This is designed for those building specialized applications on microcontrollers, where resources are very limited.
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Use this if you are a developer looking to integrate basic speech emotion detection directly onto a tiny, resource-constrained device like an Arduino Nano 33 BLE Sense.
Not ideal if you need a high-accuracy, nuanced emotion detection system for general-purpose applications or if you don't plan to deploy on a microcontroller.
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14
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5
Language
C++
License
MIT
Category
Last pushed
Apr 14, 2023
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