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Deep Learning Method for Selecting Effective Models and Feature Groups in Emotion Recognition Using an Asian Multimodal Database

机译：使用亚洲多模式数据库选择有效模型和情感识别中的有效模型和特征组的深度学习方法

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Jun-Ho Maeng; Dong-Hyun Kang; Deok-Hwan Kim;
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年度 2020
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1. Pattern recognition and features selection for speech emotion recognition model using deep learning [J] . Kittisak Jermsittiparsert, Abdurrahman Abdurrahman, Parinya Siriattakul, International journal of speech technology . 2020,第4期

机译：使用深度学习的语音情感识别模型的模式识别和特征选择
2. SVM-based feature selection methods for emotion recognition from multimodal data [J] . Torres-Valencia Cristian, Alvarez-Lopez Mauricio, Orozco-Gutierrez Alvaro Journal on multimodal user interfaces . 2017,第1期

机译：基于支持向量机的特征选择方法用于多模态数据情感识别
3. Recognition of emotions using multimodal physiological signals and an ensemble deep learning model [J] . Yin Zhong, Zhao Mengyuan, Wang Yongxiong, Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2017,第期

机译：使用多模式生理信号和集合深层学习模型的识别情绪
4. Speech Emotion Recognition Integrating Paralinguistic Features and Auto-encoders in a Deep Learning Model [C] . Ruben D. Fonnegra, Gloria M. Diaz International conference on human-computer interaction . 2018

机译：深度学习模型中整合了副语言功能和自动编码器的语音情感识别
5. Multimodal Sensing and Data Processing for Speaker and Emotion Recognition Using Deep Learning Models with Audio, Video and Biomedical Sensors [D] . Abtahi, Farnaz. 2018

机译：使用具有音频，视频和生物医学传感器的深度学习模型，对说话人和情感识别进行多模式传感和数据处理
6. Deep Learning Techniques for Speech Emotion Recognition from Databases to Models [O] . Babak Joze Abbaschian, Daniel Sierra-Sosa, Adel Elmaghraby 2021

机译：语音情感认可的深度学习技术从数据库到模型
7. Modeling multimodal cues in a deep learning-based framework for emotion recognition in the wild [O] . Stefano Pini, Olfa Ben Ahmed, Marcella Cornia, 2017

机译：基于深入学习的情感识别框架中的模拟多峰案

Deep Learning Method for Selecting Effective Models and Feature Groups in Emotion Recognition Using an Asian Multimodal Database

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