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Learning long-term temporal contexts using skip RNN for continuous emotion recognition

  • Published:2021-02 Issue:1 Volume:3 Page:55-64
  • ISSN:2096-5796
  • Container-title:Virtual Reality & Intelligent Hardware
  • language:en
  • Short-container-title:Virtual Reality & Intelligent Hardware

Author:

Huang Jian,Liu Bin,Tao Jianhua

Publisher

Elsevier BV

Reference29 articles.

1. Affective computing: a review;Tao,2005

2. Automatic, dimensional and continuous emotion recognition;Gunes;International Journal of Synthetic Emotions,2010

3. Continuous multimodal emotion prediction based on long short term memory recurrent neural network;Huang,2017

4. Multimodal multi-task learning for dimensional and continuous emotion recognition;Chen,2017

5. AVEC 2016: depression, mood, and emotion recognition workshop and challenge;Valstar,2016

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1. Emotion Recognition in Speech Using MFCC and Energy Based Ratio Features;2024 11th International Conference on Signal Processing and Integrated Networks (SPIN);2024-03-21

2. MBDA: A Multi-scale Bidirectional Perception Approach for Cross-Corpus Speech Emotion Recognition;Lecture Notes in Computer Science;2024

3. A nonlinear feature extraction approach for speech emotion recognition using VMD and TKEO;Applied Acoustics;2023-11

4. Chinese Continuous Speech Instruction Recognition Method Based on Improved Convolutional Neural Network in Noisy Background;2023 Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE);2023-08-18

5. A survey on sentiment analysis and its applications;Neural Computing and Applications;2023-08-17
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