Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques

Multimodal emotion recognition from Speech and text using heterogeneous ensemble techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliographische Detailangaben
Hauptverfasser: Rafidul Islam, Sheikh Md, Gomes, Maria, Hossain, Mehran, Raihana, Ramisha
Weitere Verfasser: Esfar-E-Alam, A. M.
Format: Abschlussarbeit
Sprache:en_US
Veröffentlicht: Brac University 2022
Schlagworte:
Multimodal
Ensemble learning
Emotion recognition
Speech
Text
Stacking
IEMOCAP
Emotions > Computer simulation
Emotions > Computer simulation.
Online Zugang:http://hdl.handle.net/10361/17613

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