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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ahmed, Hasibul Hasan, Ahmed, Zain, Choden, Tshewang, Chaudhary, Nutan
Άλλοι συγγραφείς: Chakrabarty, Amitabha
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2024
Θέματα:
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.
Διαθέσιμο Online:http://hdl.handle.net/10361/24346

Διαδίκτυο

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

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