Results 61 to 70 of about 2,597,894 (294)
An Ensemble Model for Multi-Level Speech Emotion Recognition
Applied Sciences, 2019 Speech emotion recognition is a challenging and widely examined research topic in the field of speech processing. The accuracy of existing models in speech emotion recognition tasks is not high, and the generalization ability is not strong.
Chunjun Zheng, Chunli Wang, Ning Jia
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ETRI Journal, 2022 Although researchers have proposed numerous techniques for speech emotion recognition, its performance remains unsatisfactory in many application scenarios.
Linhui Sun, Qiu Li, Sheng Fu, Pingan Li
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Speech Emotion Recognition Method Based on Multiple Kernel Learning Feature Fusion [PDF]
Jisuanji gongcheng, 2019 Extracting the Mel-Frequency Cepstral Coefficients(MFCC) in speech emotion recognition will lose the spectral feature information,resulting in a low accuracy of emotion recognition.Therefore,a speech emotion recognition method combining MFCC and ...
WANG Zhongmin, LIU Ge, SONG Hui
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Speech Emotion Recognition Based on Attention MCNN Combined With Gender Information
IEEE Access, 2023 Emotion recognition is susceptible to interference such as feature redundancy and speaker gender differences, resulting in low recognition accuracy. This paper proposes a speech emotion recognition (SER) method based on attention mixed convolutional ...
Zhangfang Hu +3 more
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Multi-task semi-supervised adversarial autoencoding for speech emotion recognition [PDF]
, 2020 Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art accuracy is quite low and needs improvement to make commercial applications of SER viable.
Latif, Siddique +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
IJARCCESpeech emotion recognition is a vital area of research with applications starting from human-computer interaction to mental health monitoring. This paper will provide a comprehensive survey of the techniques, methods, applications, and challenges in speech emotion recognition.
Yasharth Sonar +3 more
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PLoS ONE, 2019 Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech emotion recognition using several classifiers and feature extraction methods.
Panikos Heracleous, Akio Yoneyama
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Speech Emotion Recognition Based on Memory Capsules and Attention [PDF]
Jisuanji gongchengIn current speech emotion recognition systems, the insufficient extraction of emotional features and inadequate modeling ability of models for complex emotional expressions have resulted in decreased recognition accuracy. This paper proposes a method for
DONG Hongliang, NIU Yan, SUN Yang, LI Jun
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End-to-End Speech Emotion Recognition With Gender Information
IEEE Access, 2020 Many works have focused on speech emotion recognition algorithms. However, most rely on the proper selection of speech acoustic features. In this paper, we propose a novel emotion recognition algorithm that does not rely on any speech acoustic features ...
Ting-Wei Sun
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