RED-LSTM: Real time emotion detection using LSTM

RED-LSTM: Real time emotion detection using LSTM

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Detalhes bibliográficos
Main Authors: Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Outros Autores: Feroz, Farhan
Formato: Thesis
Idioma:English
Publicado em: Brac University 2023
Assuntos:
Machine learning
Speech emotion recognition
Prediction
RNN
LSTM
Real-time prediction
Human-computer interaction.
Artificial intelligence.
Acesso em linha:http://hdl.handle.net/10361/19369

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