Results 41 to 50 of about 15,605 (256)
Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files
IEEE Access, 2022 Emotion is a vital component in daily human communication and it helps people understand each other. Emotion recognition plays a crucial role in developing human-computer interaction and computer-based speech emotion recognition.
Felicia Andayani +3 more
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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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Classification Research on Emotion in Speech of Grid Customers Based on AutoML
Zhejiang dianli, 2022 The recognition of emotion in speech of customers is of great significance to grid operation. However， the recognition model of emotion in speech is designed by experts， which imposes restrictions on the application of artificial intelligence. This paper
SHEN Ran +3 more
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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 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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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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Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 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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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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