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.

Dettagli Bibliografici
Autori principali:	Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Altri autori:	Feroz, Farhan
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Machine learning Speech emotion recognition Prediction RNN LSTM Real-time prediction Human-computer interaction. Artificial intelligence.
Accesso online:	http://hdl.handle.net/10361/19369

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

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