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Multiple Models Fusion for Multi-label Classification in Speech Emotion Recognition Systems

  • Published:2022 Issue: Volume:207 Page:2875-2882
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Slimi Anwer,Hafar Nafaa,Zrigui Mounir,Nicolas Henri

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. Speech emotion recognition with deep learning;Aouani;Procedia Computer Science,2020

2. Audiovisual emotion recognition in wild;Avots;Machine Vision and Applications,2019

3. Speaker naming in tv programs based on speaker role recognition;Bellagha,2020

4. Using the mgb-2 challenge data for creating a new multimodal dataset for speaker role recognition in Arabic tv broadcasts;Bellagha;Procedia Computer Science,2021

5. Image to text conversion: state of the art and extended work;Farhani,2017

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1. Multi-Label Emotion Recognition of Korean Speech Data Using Deep Fusion Models;Applied Sciences;2024-08-28

2. Multi-label classification with imbalanced classes by fuzzy deep neural networks;Integrated Computer-Aided Engineering;2024-03-09

3. Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard;Lecture Notes in Computer Science;2024

4. A Synergistic Bidirectional LSTM and N-gram Multi-channel CNN Approach Based on BERT and FastText for Arabic Event Identification;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-11-20

5. Optimizing Arabic Named Entity Recognition through Active Learning and AraBERT;2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA);2023-09-20
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