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.

Dades bibliogràfiques
Autors principals:	Ahmed, Hasibul Hasan, Ahmed, Zain, Choden, Tshewang, Chaudhary, Nutan
Altres autors:	Chakrabarty, Amitabha
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2024
Matèries:	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.
Accés en línia:	http://hdl.handle.net/10361/24346

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