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.

Dades bibliogràfiques
Autors principals:	Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Altres autors:	Feroz, Farhan
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	Machine learning Speech emotion recognition Prediction RNN LSTM Real-time prediction Human-computer interaction. Artificial intelligence.
Accés en línia:	http://hdl.handle.net/10361/19369

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