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.

Detalles Bibliográficos
Autores principales: Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Otros Autores: Feroz, Farhan
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
Machine learning
Speech emotion recognition
Prediction
RNN
LSTM
Real-time prediction
Human-computer interaction.
Artificial intelligence.
Acceso en línea:http://hdl.handle.net/10361/19369

Internet

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

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