Results 11 to 20 of about 2,513,053 (383)
Sensors, 2023 In recent years, the rapid development of sensors and information technology has made it possible for machines to recognize and analyze human emotions. Emotion recognition is an important research direction in various fields.
Yujian Cai, Xingguang Li, Jinsong Li
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Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Recent advances in transformer-based architectures have shown promise in several machine learning tasks. In the audio domain, such architectures have been successfully utilised in the field of speech emotion recognition (SER).
Johannes Wagner +5 more
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Music emotion representation based on non-negative matrix factorization algorithm and user label information [PDF]
PeerJ Computer Science, 2023 Music emotion representation learning forms the foundation of user emotion recognition, addressing the challenges posed by the vast volume of digital music data and the scarcity of emotion annotation data.
Yuan Tian
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Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings [PDF]
Interspeech, 2021 Emotion recognition datasets are relatively small, making the use of the more sophisticated deep learning approaches challenging. In this work, we propose a transfer learning method for speech emotion recognition where features extracted from pre-trained
Leonardo Pepino +2 more
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Decoupled Multimodal Distilling for Emotion Recognition [PDF]
Computer Vision and Pattern Recognition, 2023 Human multimodal emotion recognition (MER) aims to perceive human emotions via language, visual and acoustic modalities. Despite the impressive performance of previous MER approaches, the inherent multimodal heterogeneities still haunt and the ...
Yong Li, Yuan-Zheng Wang, Zhen Cui
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Directed Acyclic Graph Network for Conversational Emotion Recognition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 The modeling of conversational context plays a vital role in emotion recognition from conversation (ERC). In this paper, we put forward a novel idea of encoding the utterances with a directed acyclic graph (DAG) to better model the intrinsic structure ...
Weizhou Shen +3 more
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Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 Speech Emotion Recognition (SER) aims to help the machine to understand human’s subjective emotion from only audio in-formation. However, extracting and utilizing comprehensive in-depth audio information is still a challenging task.
Heqing Zou +4 more
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EEG Based Emotion Recognition: A Tutorial and Review [PDF]
ACM Computing Surveys, 2022 Emotion recognition technology through analyzing the EEG signal is currently an essential concept in Artificial Intelligence and holds great potential in emotional health care, human-computer interaction, multimedia content recommendation, etc.
Xiang Li +8 more
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A Deep Learning Method Using Gender-Specific Features for Emotion Recognition
Sensors, 2023 Speech reflects people’s mental state and using a microphone sensor is a potential method for human–computer interaction. Speech recognition using this sensor is conducive to the diagnosis of mental illnesses.
Li-Min Zhang +5 more
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DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Emotion Recognition in Conversations (ERC) has gained increasing attention for developing empathetic machines. Recently, many approaches have been devoted to perceiving conversational context by deep learning models.
Dou Hu, Lingwei Wei, X. Huai
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