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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Ahmed, Hasibul Hasan, Ahmed, Zain, Choden, Tshewang, Chaudhary, Nutan
مؤلفون آخرون:	Chakrabarty, Amitabha
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2024
الموضوعات:	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.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/24346

مواد مشابهة

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Prediction of success factors of FMCG commercials using signal processing and machine learning algorithms
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Parental perception on the role of music on children’s socio-emotional development in preschool years
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