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.

Opis bibliograficzny
Główni autorzy:	Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Kolejni autorzy:	Feroz, Farhan
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2023
Hasła przedmiotowe:	Machine learning Speech emotion recognition Prediction RNN LSTM Real-time prediction Human-computer interaction. Artificial intelligence.
Dostęp online:	http://hdl.handle.net/10361/19369

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