Emotion Recognition in Audio Records

被引:0
作者
Pavaloi, Ioan [1 ]
Musca, Elena [1 ]
Rotaru, Florin [1 ]
机构
[1] Romanian Acad, Iasi Branch, Inst Comp Sci, Iasi, Romania
来源
2013 INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS (ISSCS) | 2013年
关键词
SPEECH;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A novel approach to find the combination of acoustic features producing a more robust automatic recognition of a speaker emotion is proposed. Four discrete emotional states are classified. The emotional speech corpora used for training and evaluation are described in detail. The emotion recognition model using acoustic features is presented. The results achieved are presented and discussed.
引用
收藏
页数:4
相关论文
共 50 条
[21]   Emotion recognition using deep learning approach from audio-visual emotional big data [J].
Hossain, M. Shamim ;
Muhammad, Ghulam .
INFORMATION FUSION, 2019, 49 :69-78
[22]   Exploring Sources of Variation in Human Behavioral Data: Towards Automatic Audio-Visual Emotion Recognition [J].
Kim, Yelin .
2015 INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII), 2015, :748-753
[23]   Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models [J].
de Oliveira, Danilo ;
Prabhu, Navin Raj ;
Gerkmann, Timo .
INTERSPEECH 2023, 2023, :3632-3636
[24]   Audio-Visual Emotion Recognition With Preference Learning Based on Intended and Multi-Modal Perceived Labels [J].
Lei, Yuanyuan ;
Cao, Houwei .
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 14 (04) :2954-2969
[25]   Audio-Visual Emotion Recognition Using a Hybrid Deep Convolutional Neural Network based on Census Transform [J].
Cornejo, Jadisha Yarif Ramirez ;
Pedrini, Helio .
2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, :3396-3402
[26]   Applying Segment-Level Attention on Bi-Modal Transformer Encoder for Audio-Visual Emotion Recognition [J].
Hsu, Jia-Hao ;
Wu, Chung-Hsien .
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 14 (04) :3231-3243
[27]   Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention [J].
Praveen, R. Gnana ;
Cardinal, Patrick ;
Granger, Eric .
IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE, 2023, 5 (03) :360-373
[28]   Audiovisual emotion recognition in wild [J].
Avots, Egils ;
Sapinski, Tomasz ;
Bachmann, Maie ;
Kaminska, Dorota .
MACHINE VISION AND APPLICATIONS, 2019, 30 (05) :975-985
[29]   DECN: Dialogical emotion correction network for conversational emotion recognition [J].
Lian, Zheng ;
Liu, Bin ;
Tao, Jianhua .
NEUROCOMPUTING, 2021, 454 :483-495
[30]   Multimodal Emotion Recognition Based on the Decoupling of Emotion and Speaker Information [J].
Gajsek, Rok ;
Struc, Vitomir ;
Mihelic, France .
TEXT, SPEECH AND DIALOGUE, 2010, 6231 :275-282