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.

Bibliografiske detaljer
Main Authors:	Rafidul Islam, Sheikh Md, Gomes, Maria, Hossain, Mehran, Raihana, Ramisha
Andre forfattere:	Esfar-E-Alam, A. M.
Format:	Thesis
Sprog:	en_US
Udgivet:	Brac University 2022
Fag:	Multimodal Ensemble learning Emotion recognition Speech Text Stacking IEMOCAP Emotions > Computer simulation Emotions > Computer simulation.
Online adgang:	http://hdl.handle.net/10361/17613

Lignende værker

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Behavior change analysis due to violent video gaming using deep learning models
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Udgivet: (2021)

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Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
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Parental perception and practices to support socio-emotional development of children aged 3-5 years
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Udgivet: (2021)

Exploring the perceptions of parents on playful parenting and preschool children’s socio-emotional well-being
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Understanding the perceptions and practices of private school teachers in the integration of empathy in classrooms
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Exploring rrban fathers’ involvement for children's socio-emotional development in the early years: a fathers’ perception study
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Study on human emotion based on facial expressions through human machine communication
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Text to speech synthesis for Bangla language
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Role of EI and AFLL for effective English language skills
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