Emotion Detection Using Deep Learning Models on Speech and Text Data

Eldho, Neha (2023) Emotion Detection Using Deep Learning Models on Speech and Text Data. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (1MB) | Preview
Preview	PDF (Configuration manual) Download (2MB) | Preview

Abstract

With the incorporation of artificial intelligence and deep learning techniques, emotion detection, a multidisciplinary area rooted in psychology, cognitive science, and computer science, has seen major breakthroughs. This research goes into the historical progression of emotion recognition, from Paul Ekman’s founding work to today’s cutting-edge deep learning models. A comparison of emotion identification in text and voice modalities was performed, showing the distinct problems and benefits that each brings. The paper assesses several models, including classic machine learning techniques, LSTMs, hybrid models, and ensemble approaches, on both text and speech data through a series of experiments. The results show that, while both modalities have advantages, voice data frequently delivers greater emotional clues, even when using the same model architecture. The paper also highlights the use of multi-modal data in improving emotion identification accuracy. The integration of different modalities, the use of transformer topologies, and ethical issues in emotion detection are all possible future avenues. The main objective is to use technical advances to better comprehend and interpret human emotions, opening the door for more empathic and responsive artificial intelligence systems.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Ul Ain, Qurrat UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing B Philosophy. Psychology. Religion > Psychology > Emotions Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	22 Nov 2024 11:01
Last Modified:	22 Nov 2024 11:01
URI:	https://norma.ncirl.ie/id/eprint/7185

Actions (login required)

View Item