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.

Библиографические подробности
Главные авторы:	Rafidul Islam, Sheikh Md, Gomes, Maria, Hossain, Mehran, Raihana, Ramisha
Другие авторы:	Esfar-E-Alam, A. M.
Формат:	Диссертация
Язык:	en_US
Опубликовано:	Brac University 2022
Предметы:	Multimodal Ensemble learning Emotion recognition Speech Text Stacking IEMOCAP Emotions > Computer simulation Emotions > Computer simulation.
Online-ссылка:	http://hdl.handle.net/10361/17613

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