TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliografski detalji
Glavni autori:	Ahmed, Hasibul Hasan, Ahmed, Zain, Choden, Tshewang, Chaudhary, Nutan
Daljnji autori:	Chakrabarty, Amitabha
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Tiny machine learning Emotion detection SER Voice signals Wearable IoT devices BiLSTM Convolutional neural network KNN Internet of things. Emotion recognition. Neural networks (Computer science). Speech processing systems.
Online pristup:	http://hdl.handle.net/10361/24346

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