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.

Bibliografiska uppgifter
Huvudupphovsmän: Labiba, Mansura Rahman, Jahura, Fatema Tuj, Alam, Sadia, Binte Morshed, Tasfia, Rahman, Wasey
Övriga upphovsmän: Feroz, Farhan
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2023
Ämnen:
Machine learning
Speech emotion recognition
Prediction
RNN
LSTM
Real-time prediction
Human-computer interaction.
Artificial intelligence.
Länkar:http://hdl.handle.net/10361/19369

Internet

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

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