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.

Détails bibliographiques
Auteurs principaux: Ahmed, Hasibul Hasan, Ahmed, Zain, Choden, Tshewang, Chaudhary, Nutan
Autres auteurs: Chakrabarty, Amitabha
Format: Thèse
Langue:English
Publié: Brac University 2024
Sujets:
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.
Accès en ligne:http://hdl.handle.net/10361/24346

Internet

http://hdl.handle.net/10361/24346

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