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.

Bibliografische gegevens
Hoofdauteurs: Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Andere auteurs: Feroz, Farhan
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2023
Onderwerpen:
Machine learning
Speech emotion recognition
Prediction
RNN
LSTM
Real-time prediction
Human-computer interaction.
Artificial intelligence.
Online toegang:http://hdl.handle.net/10361/19369

Internet

http://hdl.handle.net/10361/19369

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